Paper Digest Team extracted all recent ChatGPT related papers on our radar, and generated related features for each of them. The results are sorted by relevance & date. ChatGPT (Generative Pre-trained Transformer) is a chatbot launched by OpenAI in November 2022. It is built on top of OpenAI’s GPT-3 family of large language models, and is fine-tuned with both supervised and reinforcement learning techniques. In addition to this static page updated bi-weekly, we also provide an online version of this article, which is updated on a daily basis to include the most recent work on this topic.
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Highlight: This study assesses the utility of ChatGPT, an AI chatbot created by OpenAI, in responding to the diabetes knowledge questionnaire (24-DKQ).
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Abstract: ChatGPT has been a frequent topic of discussion lately. All over the Internet, from YouTube to blogs, there have been reports about how ChatGPT is able to plan people’s daily …
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Highlight: In this article, the researcher briefly explains ChatGPT’s potential and the difficulties that users, such as researchers or policymakers, may continue to face.
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Abstract: The use of artificial intelligence in neurosurgical education has been growing in recent times. ChatGPT, a free and easily accessible language model, has been gaining popularity …
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Highlight: This study compares the accuracy and quality of several ChatGPT-generated academic articles with those written by human authors.
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Abstract: This letter to the editor points out weaknesses in the editorial policies of some academic journals regarding the use of ChatGPT-generated content. Editorial policies should …
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Highlight: To this end, in this paper we present and discuss a systematic evaluation on how ChatGPT addresses progressively complex scientific writing tasks and exam-type questions in Carbohydrate Chemistry and Glycobiology.
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Highlight: Available since the end of 2022, ChatGPT is a conversational AI or chatbot, using artificial intelligence to dialogue with its users in all fields. Through the example of hydroxychloroquine (HCQ), we discuss its use for patients, clinicians, or researchers, and discuss its performance and limitations, particularly in relation to algorithmic bias.
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Highlight: This paper assesses the accuracy, reliability and bias of the Large Language Model (LLM) ChatGPT-4 on the text analysis task of classifying the political affiliation of a Twitter poster based on the content of a tweet.
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Highlight: In this paper, we introduce AGIEval, a novel benchmark specifically designed to assess foundation model in the context of human-centric standardized exams, such as college entrance exams, law school admission tests, math competitions, and lawyer qualification tests.
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Highlight: In conclusion, our study suggests that Google Scholar citations play a significant role as a predictor for mentioning a study in GPT-generated content.
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Highlight: The aim of this study is to assess the usability of the information generated by ChatGPT in oral and maxillofacial surgery.
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Highlight: The answer to this question requires a thorough evaluation of ChatGPT over multiple tasks with diverse languages and large datasets (i.e., beyond reported anecdotes), which is still missing or limited in current research. Our work aims to fill this gap for the evaluation of ChatGPT and similar LLMs to provide more comprehensive information for multilingual NLP applications.
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Abstract: Artificial Intelligence (AI) and machine learning are the current forefront of computer science and technology. AI and related sub-disciplines, including machine learning, are …
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Highlight: Background: General large language models (LLMs), such as ChatGPT (GPT-3.5), have demonstrated capability to pass multiple-choice medical board examinations.
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Highlight: We found little differences in the perceived linguistic quality between ChatGPT responses and the sample solution.
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Highlight: In this study, we utilize the GPT-3 model to generate scientific paper abstracts through Artificial Intelligence and explore various text representation methods when combined with Machine Learning models with the aim of identifying machine-written text.
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Highlight: For enabling the combination of ChatGPT and RDF KGs, we present a research prototype, called GPToLODS, which is able to enrich any ChatGPT response with more information from hundreds of RDF KGs.
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Highlight: However, their performance on code-related content generated by ChatGPT remains unexplored. To fill this gap, in this paper, we present the first empirical study on evaluating existing AIGC detectors in the software domain.
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Highlight: In this paper, we study the privacy threats from OpenAI’s model APIs and New Bing enhanced by ChatGPT and show that application-integrated LLMs may cause more severe privacy threats ever than before.
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Highlight: In this editorial we discuss the place of artificial intelligence (AI) in the writing of scientific articles and especially editorials.
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Highlight: Chatbots have gained increasing attention recently, with an annual growth rate of 19.16% and 27.19% on the Web of Sciences (WoS) and Scopus, respectively. In this study, we have explored the structure, conceptual evolution, and trends in this field by analyzing data from both Scopus and WoS databases.
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Highlight: This research work will highlight how ChatGPT-powered healthcare services can boost the health and well-being of seafarers.
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Highlight: In this work, we investigate ChatGPT’s ability on zero-shot temporal relation extraction.
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Abstract: This brief editorial describes an emerging area of machine learning technology called large language models (LLMs). LLMs, such as ChatGPT, are the technological disruptor of this …
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Highlight: In this work, we performed multi-dimensional scaling (MDS) to confirm the distributions of 216 texts of three classes (72 academic papers written by 36 single authors, 72 texts generated by GPT-3.5, and 72 texts generated by GPT-4 on the basis of the titles of the aforementioned papers) focusing on the following stylometric features: (1) bigrams of parts-of-speech, (2) bigram of postpositional particle words, (3) positioning of commas, and (4) rate of function words.
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Highlight: Large language models (LLMs) have shown incredible capabilities and transcended the natural language processing (NLP) community, with adoption throughout many services like healthcare, therapy, education, and customer service.
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Highlight: PPO, however, is sensitive to hyperparameters and requires a minimum of four models in its standard implementation, which makes it hard to train. In contrast, we propose a novel learning paradigm called RRHF, which scores responses generated by different sampling policies and learns to align them with human preferences through ranking loss.
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Highlight: In this paper, we systematically investigate the advantages and challenges of LLMs for MMT by answering two questions: 1) How well do LLMs perform in translating a massive number of languages?
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Highlight: In this paper, we aimed to provide a review and tutorial for researchers in the field of medical imaging using language models to improve their tasks at hand.
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Highlight: In this work, we introduce Video ChatCaptioner, an innovative approach for creating more comprehensive spatiotemporal video descriptions.
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Highlight: In this work, we investigate the understanding ability of ChatGPT for zero-shot dialogue understanding tasks including spoken language understanding (SLU) and dialogue state tracking (DST).
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Highlight: To this end, in this work, we provide a preliminary evaluation of ChatGPT on the understanding of opinions, sentiments, and emotions contained in the text.
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Highlight: Furthermore, we find that applying an extract-then-generate pipeline with ChatGPT yields significant performance improvements over abstractive baselines in terms of summary faithfulness. These observations highlight potential directions for enhancing ChatGPT’s capabilities for faithful text summarization tasks using two-stage approaches.
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Highlight: The main objective of our study was to replicate a patient’s internet search in order to assess the appropriateness of ChatGPT, a novel machine learning tool released in 2022 that provides dialogue responses to queries, in comparison to Google Web Search, the most widely used search engine in the United States today, as a resource for patients for online health information.
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Highlight: ChatGPT, an artificial intelligence chatbot, has rapidly gained prominence in various domains, including medical education and healthcare literature. This hybrid narrative review, conducted collaboratively by human authors and ChatGPT, aims to summarize and synthesize the current knowledge of ChatGPT in the indexed medical literature during its initial four months.
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Highlight: In this study, in order to explore how ChatGPT could give reflections and suggestions about the sudden outbreak of Mpox in 2022 from the AI dimensions, our group talked with ChatGPT with several questions about Mpox.
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Highlight: We aimed to explore output of the ChatGPT model (OpenAI, https://openai.com/blog/chatgpt) regarding current debates in cardiovascular CT.
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Highlight: We test possible value biases in ChatGPT using a psychological value theory.
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Highlight: The latest chatbot to make a splash is ChatGPT. To see if this type of AI could also be helpful in creating an immunological review article, I put a planned review on different classes of small RNAs during murine B cell development to the test.
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Highlight: In this paper, we present ChatPipe, a novel system designed to facilitate seamless interaction between users and ChatGPT.
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Highlight: To this end, we propose a novel Generative Recommender paradigm named GeneRec, which adopts an AI generator to personalize content generation and leverages user instructions to acquire users’ information needs.
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Highlight: This article aims to stimulate a thoughtful dialogue within the artificial intelligence community, encouraging researchers and developers to reflect on the role of biases in generative language models and the ongoing pursuit of ethical AI.
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Highlight: In this perspective we explore whether, and how, synthetic data may become a dominant force in the machine learning world, promising a future where datasets can be tailored to individual needs.
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Highlight: In the present paper, we introduce the importance of urban planning from the sustainability, living, economic, disaster, and environmental perspectives.
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Highlight: The paper proposes easy-to-customize input prompts for ChatGPT that meet common requirements in practical applications, such as easy integration with robot execution systems and applicability to various environments while minimizing the impact of ChatGPT’s token limit.
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Highlight: Unfortunately, ChatGPT’s advice is not consistent. Nonetheless, it does influence users’ moral judgment, we find in an experiment, even if they know they are advised by a chatting bot, and they underestimate how much they are influenced.
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Highlight: This report analyses multiple logical reasoning datasets, with popular benchmarks like LogiQA and ReClor, and newly-released datasets like AR-LSAT.
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Highlight: In this paper, we propose a novel approach for opinion mining, utilizing YouTube’s auto-generated captions from public interviews as a data source, specifically focusing on the 2023 Turkish elections as a case study.
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Highlight: In this work, we comprehensively evaluate the mental health analysis and emotional reasoning ability of ChatGPT on 11 datasets across 5 tasks, including binary and multi-class mental health condition detection, cause/factor detection of mental health conditions, emotion recognition in conversations, and causal emotion entailment.
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Highlight: This research examines the responses generated by ChatGPT from different Conversational QA corpora.
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Highlight: The parameter-free Chain-of-Thought (CoT) approach, not requiring backpropagation training, has emerged as a promising alternative. This paper examines CoT’s effectiveness in stance detection tasks, demonstrating its superior accuracy and discussing associated challenges.
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Abstract: Chain-of-Thought (CoT) prompting can effectively elicit complex multi-step reasoning from Large Language Models~(LLMs). For example, by simply adding CoT instruction “Let’s think …
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Highlight: Large language models (LLMs) such as ChatGPT and GPT-4 have recently demonstrated their remarkable abilities of communicating with human users. In this technical report, we take an initiative to investigate their capacities of playing text games, in which a player has to understand the environment and respond to situations by having dialogues with the game world.
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Highlight: This article provides an overview of the implications of ChatGPT and other large language models (LLMs) for dental medicine.
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Highlight: In this study, we evaluate the performance of several widely-used GPT detectors using writing samples from native and non-native English writers.
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Highlight: However, these models are only accessible through restricted APIs, which creates barriers to new research and advancements in the field. Therefore, we propose the $mathbf{ParroT}$ framework to enhance and regulate the translation abilities during chat based on open-sourced LLMs (i.e., LLaMA-7b) and human written translation and evaluation data.
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Highlight: This study investigates the performance of LLMs such as the ChatGPT family of models (GPT-3.5s, GPT-4) in biomedical tasks beyond question-answering.
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Highlight: By using ChatGPT to annotate single cell data, we can relate rare cell type to their function and reveal specific differentiation trajectories of cell subtypes that were previously overlooked.
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Highlight: In this paper, we provide a concise review of the classification and representation of design knowledge, and past efforts to support designers in acquiring knowledge.
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Highlight: In this study, we explored ChatGPT’s ability to perform human-like summarization evaluation using four human evaluation methods on five datasets.
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Highlight: However, there is currently a dearth of comprehensive study exploring its potential in the area of Grammatical Error Correction (GEC). To showcase its capabilities in GEC, we design zero-shot chain-of-thought (CoT) and few-shot CoT settings using in-context learning for ChatGPT.
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Highlight: Thus, in this paper, we explore how to assist machine translation with ChatGPT.
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Highlight: Among the various fine-tuning methods, adapter-based parameter-efficient fine-tuning (PEFT) is undoubtedly one of the most attractive topics, as it only requires fine-tuning a few external parameters instead of the entire LLMs while achieving comparable or even better performance. To enable further research on PEFT methods of LLMs, this paper presents LLM-Adapters, an easy-to-use framework that integrates various adapters into LLMs and can execute these adapter-based PEFT methods of LLMs for different tasks.
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Highlight: The study fo-cuses on three aspects: 1) Effects of Discourse-Aware Prompts, where we investigate the impact of different prompts on document-level translation quality and discourse phenomena; 2) Comparison of Translation Models, where we compare the translation performance of Chat-GPT with commercial MT systems and advanced document-level MT methods; 3) Analysis of Discourse Modelling Abilities, where we further probe discourse knowledge encoded in LLMs and examine the impact of training techniques on discourse modeling.
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Highlight: This paper presents a comprehensive survey of ChatGPT and GPT-4, state-of-the-art large language models (LLM) from the GPT series, and their prospective applications across diverse domains.
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Highlight: In this note, we compare the two methods using ChatGPT and GPT4 on a series of logic word puzzles, and conclude that the latter is the right approach.
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Highlight: However, GPT models can sometimes generate plausible-sounding but false outputs, leading to hallucinations. In this article, we discuss the importance of prompt engineering in mitigating these risks and harnessing the full potential of GPT for geotechnical applications.
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Highlight: However, LLMs tend to generate ordinary programs following similar patterns seen in their massive training corpora, while fuzzing favors unusual inputs that cover edge cases or are unlikely to be manually produced. To fill this gap, this paper proposes FuzzGPT, the first technique to prime LLMs to synthesize unusual programs for fuzzing.
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Highlight: In a hybrid (virtual and in-person) panel discussion event, we examined various perspectives regarding the use of ChatGPT in education, research, and healthcare.
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Highlight: Additionally, training and deploying a dialogue model is still believed to be impossible for hospitals, hindering the promotion of LLMs. To tackle these challenges, we have collected databases of medical dialogues in Chinese with ChatGPT’s help and adopted several techniques to train an easy-deploy LLM.
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Highlight: In a hybrid (virtual and in-person) panel discussion event, we examined various perspectives regarding the use of ChatGPT in education, research, and healthcare.
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Highlight: We propose a pipeline that can automatically generate a high-quality multi-turn chat corpus by leveraging ChatGPT to engage in a conversation with itself.
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Highlight: Recently, OpenAI’s ChatGPT, a powerful large language model (LLM), has garnered significant attention due to its impressive performance in various tasks. Therefore, we present this report to investigate the effectiveness of LLMs, especially ChatGPT, and explore ways to optimize their use in assessing text quality.
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Highlight: However, their massive computation resources and huge memory footprint are inevitable challenges. To tackle this issue, we propose BCT, a framework of blockwise compression for transformers without retraining, to lower deployment thresholds.
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Highlight: In this paper, we tested multiple deep learning architectures and feature engineering approaches, and evaluated the scenario of determining divisibility of large finite integers (up to $2^{32}$) by small prime numbers.
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Highlight: This study aims to evaluate the performance of ChatGPT-4, an advanced Artificial Intelligence (AI) language model, on the Ophthalmology Knowledge Assessment Program (OKAP) examination compared to its predecessor, ChatGPT-3.5.
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Highlight: As such, it has become critically important to develop effective, practical, and scalable solutions to differentiate deepfake texts from human-written texts. Toward this challenge, in this work, we investigate how factors such as skill levels and collaborations impact how humans identify deepfake texts, studying three research questions: (1) do collaborative teams detect deepfake texts better than individuals?
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Highlight: The primary objective of this study is to provide a comprehensive and contemporary assessment of the most recent techniques in ChatGPT detection.
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Highlight: The objectives of this research are 1) to develop an ontology for CDoH by utilizing PubMed articles and ChatGPT; 2) to foster ontology reuse by integrating CDoH with an existing SDoH ontology into a unified structure; 3) to devise an overarching conception for all non-clinical determinants of health and to create an initial ontology, called N-CODH, for them; 4) and to validate the degree of correspondence between concepts provided by ChatGPT with the existing SDoH ontology
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Highlight: A stratified evaluation could instead reveal subfields, where hallucinations are more likely to occur and thus help to better assess LLMs’ risks and guide their further development. To support such stratified evaluations, we propose LLMMaps as a novel visualization technique that enables users to evaluate LLMs’ performance with respect to Q&A datasets.
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Highlight: Here we assess whether ChatGPT, a prominent LLM, can evaluate the credibility of news outlets.
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Highlight: This not only leads to many repeated patches that are incorrect but also miss the crucial information in test failures as well as in plausible patches. To address these limitations, we propose ChatRepair, the first fully automated conversation-driven APR approach that interleaves patch generation with instant feedback to perform APR in a conversational style.
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Highlight: In contrast to other emerging studies that assess the accuracy of LLMs like ChatGPT on tasks from a selected area, this work rather investigates ways how to achieve a successful solution of a standard statistical task in a collaboration of a human-expert and artificial intelligence (AI).
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Highlight: In this survey, we review the recent advances of LLMs by introducing the background, key findings, and mainstream techniques.
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Highlight: Our report shows that ChatGPT-4 and Bard, respectively scored 70.9% and 39.2% in the FE exam and 46.2% and 41% in the PE exam.
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Highlight: In what will likely be a litany of generative-model-themed arXiv submissions celebrating April the 1st, we evaluate the capacity of state-of-the-art transformer models to create a paper detailing the detection of a Pulsar Wind Nebula with a non-existent Imaging Atmospheric Cherenkov Telescope (IACT) Array.
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Highlight: PurposeThis study aimed to assess the performance of ChatGPT, specifically the GPT-3.5 and GPT-4 models, on the Korean general surgery board exam questions and investigate the potential applications of large language models (LLM) for surgical education and training.
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Abstract: Online First article. …
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Highlight: In this work, we evaluate LLM APIs (ChatGPT, GPT-3, and GPT-4) on the Japanese national medical licensing examinations from the past five years, including the current year.
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Abstract: This corrects the article on p. 171 in vol. 24, PMID: 36788775. …
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Highlight: For the last few months, the conversational agent ChatGPT has prompted a lot of interest in the scientific community and public due to its capacity of generating plausible-sounding answers. In this paper, we explore this ability by probing it in the named entity recognition and classification (NERC) task in primary sources (e.g., historical newspapers and classical commentaries) in a zero-shot manner and by comparing it with state-of-the-art LM-based systems.
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Highlight: However, the online-harvested raw descriptions are highly noisy and unsuitable for direct use in tasks such as automated audio captioning. To overcome this issue, we propose a three-stage processing pipeline for filtering noisy data and generating high-quality captions, where ChatGPT, a large language model, is leveraged to filter and transform raw descriptions automatically.
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Highlight: We present a publicly available code to visualize the detection numbers, highlighting the exponential growth in gravitational-wave observations in the coming decades and the exciting prospects of gravitational-wave astrophysics.
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Abstract: The 1920s mark the rise of robots in the human lexicon. Karel Capek, a Czech playwright, wrote , which stands for or . The word for worker or labourer in Czech is ; Karel was …
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Highlight: We found that while text classification algorithms can distinguish between real and generated summaries, humans are unable to distinguish between real summaries and those produced by ChatGPT.
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Highlight: This work provides a systematic review of existing publications on the use of ChatGPT in healthcare, elucidating the ‘status quo’ of ChatGPT in medical applications, for general readers, healthcare professionals as well as NLP scientists.
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Highlight: In particular, we focused on (orthogonal) diagonalization and singular value decomposition (SVD).
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Highlight: Given its usage by users from various nations and its training on a vast multilingual corpus that incorporates diverse cultural and societal norms, it is crucial to evaluate its effectiveness in cultural adaptation. In this paper, we investigate the underlying cultural background of ChatGPT by analyzing its responses to questions designed to quantify human cultural differences.
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Highlight: Considering large language models (LLMs) have exhibited exceptional ability in language understanding, generation, interaction, and reasoning, we advocate that LLMs could act as a controller to manage existing AI models to solve complicated AI tasks and language could be a generic interface to empower this. Based on this philosophy, we present HuggingGPT, a framework that leverages LLMs (e.g., ChatGPT) to connect various AI models in machine learning communities (e.g., Hugging Face) to solve AI tasks.
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Highlight: Studies show that ChatGPT, a general purpose large language model chatbot, could pass the multiple-choice US Medical Licensing Exams, but the model’s performance on open-ended clinical reasoning is unknown.
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Highlight: Importance: Studies show that ChatGPT, a general purpose large language model chatbot, could pass the multiple-choice US Medical Licensing Exams, but the model’s performance on open-ended clinical reasoning is unknown.
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Abstract: ChatGPT is built on a large language model trained on an enormous corpus of human text to emulate human conversation. Despite lacking any explicit programming regarding the laws …
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Highlight: In this article, we explore the applications of DGMs in a crucial task, i.e., improving the efficiency of wireless network management.
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Abstract: Background: Interest surrounding generative large language models (LLMs) has rapidly grown. While ChatGPT (GPT-3.5), a general LLM, has shown near-passing performance on medical …
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Highlight: We present an overview of the complex systems field using ChatGPT as a representation of the community’s understanding.
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Highlight: Therefore, there is a clear and pressing need for a mechanism that can leverage foundation models to propose task solution outlines and then automatically match some of the sub-tasks in the outlines to the off-the-shelf models and systems with special functionalities to complete them. Inspired by this, we introduce TaskMatrix.AI as a new AI ecosystem that connects foundation models with millions of APIs for task completion.
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Highlight: In this article, we offer ten tips based on our experience with ChatGPT to assist computational biologists in optimizing their workflows.
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Highlight: The need to discriminate human writing from AI is now both critical and urgent, particularly in domains like higher education and academic writing, where AI had not been a significant threat or contributor to authorship. Addressing this need, we developed a method for discriminating text generated by ChatGPT from (human) academic scientists, relying on prevalent and accessible supervised classification methods.
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Highlight: Artificial Intelligence-Generated Content (AIGC) is an automated method for generating, manipulating, and modifying valuable and diverse data using AI algorithms creatively.
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Highlight: Existing research on hallucinations has primarily focused on small bilingual models trained on high-resource languages, leaving a gap in our understanding of hallucinations in massively multilingual models across diverse translation scenarios. In this work, we fill this gap by conducting a comprehensive analysis on both the M2M family of conventional neural machine translation models and ChatGPT, a general-purpose large language model~(LLM) that can be prompted for translation.
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Highlight: Large language models (LLMs) such as ChatGPT and GPT-4 have made significant progress in NLP.
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Highlight: As it is primarily trained on English language data, it presents the Anglo-American perspective as the normative view, reducing the complexity of a multifaceted issue to the single Anglo-American standard. In this paper, we present evidence and analysis of language bias and discuss its larger social implications.
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Highlight: In this study, we investigated the potential of ChatGPT, a large language model developed by OpenAI, for the clinical named entity recognition task defined in the 2010 i2b2 challenge, in a zero-shot setting with two different prompt strategies.
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Highlight: In this work, we report the performance of LLM-based ChatGPT (with gpt-3.5-turbo backend) in three text-based mental health classification tasks: stress detection (2-class classification), depression detection (2-class classification), and suicidality detection (5-class classification).
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Highlight: While the models themselves garner much attention, to accurately characterize their impact, we must consider the broader sociotechnical ecosystem. We propose Ecosystem Graphs as a documentation framework to transparently centralize knowledge of this ecosystem.
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Highlight: In this work, we study exponential regression problem which is inspired by the softmax/exp unit in the attention mechanism in large language models.
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Highlight: Present-day machine translation tools often fail to accurately translate attributive clauses from Japanese to Chinese. In light of this, this paper investigates the linguistic problem underlying such difficulties, namely how does the semantic role of the modified noun affect the selection of translation patterns for attributive clauses, from a linguistic perspective.
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Highlight: In this paper, we particularly explore ChatGPT’s ability to evaluate factual inconsistency under a zero-shot setting by examining it on both coarse-grained and fine-grained evaluation tasks including binary entailment inference, summary ranking, and consistency rating.
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Abstract: Academic publishing is crucial for scientific communication, is governed by accepted ethical norms, and underpins the collective literature on basic science, and technological and …
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Highlight: Using a sample of 2,382 tweets, we demonstrate that ChatGPT outperforms crowd-workers for several annotation tasks, including relevance, stance, topics, and frames detection.
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Highlight: This paper presents the first ChatGPT4PCG Competition at the 2023 IEEE Conference on Games.
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Highlight: Large language models have revolutionized the field of artificial intelligence and have been used in various applications.
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Highlight: Nowadays large language models (LLMs) have shown revolutionary power in a variety of natural language processing (NLP) tasks such as text classification, sentiment analysis, language translation, and question-answering.
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Highlight: For many years, researchers have been searching for the answer to what the information content in the signal is, because only when the information content is mathematically and accurately described can information-based machines be truly intelligent. This paper starts from rethinking the essence of the basic concepts of the information, such as semantics, meaning, information and knowledge, presents the mathematical characterization of the information content, investigate the relationship between them, studies the transformation from Shannon’s signal information theory to semantic information theory, and therefore proposes a content-oriented semantic communication framework.
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Highlight: Results: We found that ChatGPT correctly answered 74% of the trivia questions, with slight variation in accuracy in the domains coronary artery disease (80%), pulmonary and venous thrombotic embolism (80%), atrial fibrillation (70%), heart failure (80%) and cardiovascular risk management (60%).
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Highlight: In this paper, we introduce an integration of wireless perception (WP) with AI-generated content (AIGC) and propose a unified WP-AIGC framework to improve the quality of digital content production.
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Highlight: In this paper we explore the performance of large language models based on instruction tuning across different scales of instruction data.
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Highlight: However, traditional recommender systems continue to face great challenges such as poor interactivity and explainability, which actually also hinder their broad deployment in real-world systems. To address these limitations, this paper proposes a novel paradigm called Chat-Rec (ChatGPT Augmented Recommender System) that innovatively augments LLMs for building conversational recommender systems by converting user profiles and historical interactions into prompts.
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Highlight: We evaluated the ChatGPT recommendations for glioma management by a panel of CNS tumour experts.
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Abstract: Since its release as a research preview in November 2022, ChatGPT, the conversational interface to the Generative Pretrained Transformer 3 large language model built by OpenAI, …
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Highlight: Recent large language models (LLMs) in the general domain, such as ChatGPT, have shown remarkable success in following instructions and producing human-like responses.
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Highlight: In concluding, this research provides quantitative benchmarking evaluations to contribute to the paucity of NL2VIS standards.
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Highlight: Generative large language models (LLMs), e.g., ChatGPT, have demonstrated remarkable proficiency across several NLP tasks such as machine translation, question answering, text summarization, and natural language understanding.
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Highlight: Dynamic and personalized experiences are possible with this technology, but there are also legitimate privacy, bias, and ethical issues to consider. This article aims to help readers understand the possible influence of ChatGPT on the metaverse and how it may be used to effectively create a more immersive and engaging virtual environment by evaluating these opportunities and obstacles.
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Highlight: We present an uncommon case of a 34-year-old male with a burnt out metastatic mixed testicular cancer who presented with choriocarcinoma syndrome (CS) treated with chemotherapy but developed deadly hemorrhaging of brain metastases.
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Highlight: This article explores the role of using ChatGPT, a language model developed by OpenAI, in writing medical scientific articles.
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Highlight: In this paper, we conduct a comprehensive analysis of various datasets commonly employed for paraphrase detection tasks and evaluate an array of detection methods.
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Highlight: Our objective was to evaluate the quality of the answers and the references provided by ChatGPT for medical questions.
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Highlight: We performed exploratory interviews with industry professionals to understand current practices and challenges, which we incorporate into our vision of a future of software development education and make some pedagogical recommendations.
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Highlight: This study evaluated the performance and robustness of ChatGPT in providing breast, prostate, and lung cancer treatment recommendations that align with National Comprehensive Cancer Network (NCCN) guidelines.
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Highlight: In this report, we aim to further mine ChatGPT’s translation ability by revisiting several aspects: temperature, task information, and domain information, and correspondingly propose two (simple but effective) prompts: Task-Specific Prompts (TSP) and Domain-Specific Prompts (DSP).
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Highlight: In this article, we explore prompting LLMs in a zero-shot manner to create code-mixed data for five languages in South East Asia (SEA) — Indonesian, Malay, Chinese, Tagalog, Vietnamese, as well as the creole language Singlish.
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Highlight: In this paper, we show how cross-layer design can overcome challenges in non-coherent optical computing platforms.
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Highlight: We aimed to examine the accuracy and reproducibility of ChatGPT in answering questions regarding knowledge, management, and emotional support for cirrhosis and HCC.
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Highlight: We find that most models are trained on small, narrowly-scoped clinical datasets (e.g. MIMIC-III) or broad, public biomedical corpora (e.g. PubMed) and are evaluated on tasks that do not provide meaningful insights on their usefulness to health systems. In light of these findings, we propose an improved evaluation framework for measuring the benefits of clinical foundation models that is more closely grounded to metrics that matter in healthcare.
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Abstract: We present a case study of a conversation between ourselves and an artificial intelligence-based chatbot ChatGPT. We asked the chatbot to respond to a basic physics question that …
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Highlight: We highlight the issue of data contamination in ChatGPT evaluations, with a case study of the task of stance detection.
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Highlight: In this paper, we report on our investigation of an early version of GPT-4, when it was still in active development by OpenAI.
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Highlight: The emergence of ChatGPT has recently garnered significant attention from the computational linguistics community. To demonstrate its capabilities as a keyphrase generator, we conduct a preliminary evaluation of ChatGPT for the keyphrase generation task.
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Highlight: This paper discusses OpenAIs ChatGPT, a generative pre-trained transformer, which uses natural language processing to fulfill text-based user requests (i.e., a chatbot).
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Highlight: After introducing the fundamental techniques, this work focuses on the technological development of various AIGC tasks based on their output type, including text, images, videos, 3D content, etc., which depicts the full potential of ChatGPT’s future.
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Highlight: This review aims to provide a brief overview of the history, state of the art, and implications of Generative Language Models in terms of their principles, abilities, limitations, and future prospects — especially in the context of cyber-defense, with a focus on the Swiss operational environment.
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Abstract: On November 20, 2022, ChatGPT was made available to the general public free of charge. As a large language model (LLM), the software was able to process inquiries by users and …
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Highlight: Consequently, this study compared the writing performance on a narrative topic by ChatGPT and Chinese intermediate English (CIE) learners so as to reveal the chatbot’s advantage and disadvantage in writing.
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Highlight: In summary, our study presents an embodied perspective on defining object-ness in an affordable world, advocating the concept of embodied cognition for understanding the emergence of intelligence under the constraints of an organism’s physical attributes.
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Highlight: The mass aggregation of knowledge embedded in large language models (LLMs) holds the promise of new solutions to problems of observability and measurement in the social sciences. We examine the utility of one such model for a particularly difficult measurement task: measuring the latent ideology of lawmakers, which allows us to better understand functions that are core to democracy, such as how politics shape policy and how political actors represent their constituents.
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Highlight: We found no qualitative difference between AI and human-generated creativity, although there are differences in how ideas are generated.
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Highlight: When topics were stratified by general and specific ideas, we found that ChatGPT was 35% accurate for general ideas and 75% accurate for specific ideas.
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Highlight: ChatGPT is a large language model recently released by the OpenAI company. In this technical report, we explore for the first time the capability of ChatGPT for programming numerical algorithms.
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Highlight: In this work, we evaluate the influence of ChatGPT on university education, with a primary focus on computer security-oriented specialization.
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Highlight: In this work, we developed a novel GPT4-enabled de-identification framework (DeID-GPT) to automatically identify and remove the identifying information.
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Highlight: In this article we briefly compare the performance of two different approaches to generative LLMs – ChatGPT and Foresight NLP model, in forecasting relevant diagnoses based on clinical vignettes.
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Highlight: We propose MM-REACT, a system paradigm that integrates ChatGPT with a pool of vision experts to achieve multimodal reasoning and action.
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Highlight: This article presents an up-to-date comprehensive review of large AI models, from background to their applications.
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Abstract: ChatGPT is an artificial intelligence (AI)-based conversational large language model (LLM). The potential applications of LLMs in health care education, research, and practice …
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Highlight: We evaluate their performance on nine natural language understanding (NLU) tasks using 21 datasets.
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Highlight: To this end, we summarize two basic KGQA frameworks based on PLMs without additional neural network modules to compare the performance of nine PLMs in terms of accuracy and efficiency.
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Highlight: Large language models (LLMs) have promised a revolution in answering complex questions using the ChatGPT model.
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Highlight: To tackle the issue, we propose BBCT, a method of block-wise bit-compression for transformer without retraining.
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Highlight: However, as with any technology, there are limitations and challenges to consider when using ChatGPT in public health. In this overview, we will examine the potential uses of ChatGPT in public health, as well as the advantages and disadvantages of its use.
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Abstract: There have been advancements in artificial intelligence (AI) and deep learning in the past decade. Recently, OpenAI Inc. has launched a new chatbot, called ChatGPT that interacts …
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Highlight: In this work, we propose SelfCheckGPT, a simple sampling-based approach that can be used to fact-check black-box models in a zero-resource fashion, i.e. without an external database.
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Highlight: We propose UPRISE (Universal Prompt Retrieval for Improving zero-Shot Evaluation), which tunes a lightweight and versatile retriever that automatically retrieves prompts for a given zero-shot task input.
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Highlight: The large language model called ChatGPT has drawn extensively attention because of its human-like expression and reasoning abilities. In this study, we investigate the feasibility of using ChatGPT in experiments on using ChatGPT to translate radiology reports into plain language for patients and healthcare providers so that they are educated for improved healthcare.
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Highlight: Psychiatrists and psychotherapists specialising in the fields of addiction, personality disorders, ADHD and suicidal crisis, we questioned the ChatGPT artificial intelligence program in order to form an opinion on the quality of its answers to questions on these subjects.
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Abstract: Natural language processing-the branch of artificial intelligence concerned with the interaction between computers and human language-has advanced markedly in recent years with …
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Highlight: Design: We evaluated the appropriateness of responses of four IVAs (Amazon Alexa, Apple Siri, Google Assistant, and Microsoft Cortana) to eight CPR-related questions.
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Abstract: The integration of artificial intelligence (AI) into medical education has the potential to revolutionize the way students learn about biomedical sciences. Large language models, …
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Highlight: Complex question answering is a challenge task of KBQA, which comprehensively tests the ability of models in semantic parsing and reasoning. To assess the performance of ChatGPT as a question answering system (QAS) using its own knowledge, we present a framework that evaluates its ability to answer complex questions.
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Highlight: In this report, we present the LP word problem dataset and shared tasks for the NeurIPS 2022 competition.
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Highlight: One of the key observations presented in this work is that the ChatGPT tool could not be used to pass all components of the course.
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Highlight: Our study suggests that Large Language Models (LLMs) may be a useful tool for identifying research priorities in the field of GI, but more work is needed to improve the novelty of the generated research questions.
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Highlight: We developed GeneTuring, a comprehensive QA database with 600 questions in genomics, and manually scored 10,800 answers returned by six GPT models, including GPT-3, ChatGPT, and New Bing.
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Abstract: Generative Pre-trained Transformers (GPT) are powerful language models that have great potential to transform biomedical research. However, they are known to suffer from …
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Highlight: Furthermore, ChatGPT has consistently demonstrated a remarkable level of accuracy and reliability in terms of content evaluation, exhibiting the capability of mimicking human preferences. To further explore ChatGPT’s potential in this regard, a study is conducted to assess its ability to rank content.
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Highlight: In 2023, OpenAI responded to criticism that Kenyan workers were paid less than $2 per hour to filter traumatic content from its ChatGPT model by stating in part that it had outsourced the work to a subcontractor, who managed workers’ payment and mental health concerns. In this position paper, we argue that policy interventions for AI Ethics must consider AI as a supply chain problem, given how the political economy and intra-firm relations structure AI production, in particular examining opportunities upstream.
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Abstract: We present a case report of a 37-year-old male who presented to the emergency department with altered mental status and electrocardiographic changes suggestive of an ST-elevation …
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Abstract: ChatGPT and other artificial intelligence (AI) word prediction large database models are now readily available to the public. Program directors should be aware of the general …
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Abstract: Nelson syndrome (NS) is a dangerous condition that can sometimes manifest after bilateral adrenalectomy (BA), typically in treating Cushing’s disease. It is defined by the …
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Highlight: In this paper, we introduce ChatCaptioner, a novel automatic-questioning method deployed in image captioning.
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Highlight: To generate high-quality prompts and images, we adopted a large language model (e.g., ChatGPT), and a text-to-image diffusion model (e.g., Stable Diffusion), respectively.
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Abstract: Background and objective ChatGPT is an artificial intelligence (AI) language model that has been trained to process and respond to questions across a wide range of topics. It is …
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Highlight: The emergence of generative AI technologies, such as OpenAI’s ChatGPT chatbot, has expanded the scope of tasks that AI tools can accomplish and enabled AI-generated creative content. In this study, we explore how disclosure regarding the use of AI in the creation of creative content affects human evaluation of such content.
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Highlight: In this paper, we investigate ChatGPT’s trustworthiness regarding logically consistent behaviours.
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Abstract: Atrial fibrillation (AF) is a common heart rhythm disorder that increases the risk of stroke and other cardiovascular complications. The Watchman FLX device is a percutaneous …
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Highlight: However, while the debate on ChatGPT in academia is making waves, more understanding is needed among lecturers and teachers on how students use and perceive ChatGPT. To address this gap, we analyzed the content on ChatGPT available on TikTok in February 2023.
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Highlight: In this paper, we ask how, and in what ways, LLMs should be personalised.
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Highlight: To this end, we propose a simple but effective in-context learning framework called ICL-D3IE, which enables LLMs to perform DIE with different types of demonstration examples.
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Abstract: This case report was written with the assistance of the large language model known as ChatGPT, a form of generative artificial intelligence that can write grammatically correct …
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Highlight: Despite an increasingly diverse population, an unmet demand for undergraduates from underrepresented racial and ethnic minority (URM) backgrounds exists in the field of medicine as a result of financial hurdles and insufficient educational support faced by URM students in the premedical journey. With the capacity to provide highly individualized and accessible no- or low-cost dynamic instruction, large language models (LLMs) and their chatbot derivatives are posed to change this dynamic and subsequently help shape a more diverse future physician workforce.
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Abstract: Artificial intelligence (AI) technologies to help authors improve the preparation and quality of their manuscripts are increasing rapidly in number and sophistication, including …
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Abstract: Traumatic Coronary Artery Dissection (TCAD) is a rare but potentially life-threatening condition that can occur as a result of blunt chest trauma. This case report presents the …
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Abstract: ChatGPT has recently been shown to pass the United States Medical Licensing Examination (USMLE). We tested ChatGPT (Feb 13, 2023 release) using a typical clinical toxicology case …
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Highlight: We design a series of prompts to inject the visual model information into ChatGPT, considering models of multiple inputs/outputs and models that require visual feedback.
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Abstract: The impressive conversational and programming abilities of ChatGPT make it an attractive tool for facilitating the education of bioinformatics data analysis for beginners. In this …
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Highlight: In this study, we aimed to evaluate the performance of five state-of-the-art LLMs in providing correct and comprehensive information on common questions raised by prostate cancer patients.
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Highlight: In this study, we proposed an iterative model to fine-tune instructions for guiding a ChatGPT in generating code for bioinformatics data analysis tasks.
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Highlight: We find that ChatGPT narrowly passed the exam, obtaining 20.5 out of 40 points.
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Abstract: This letter to the editors takes a deeper look at the validity and ethics of authorship of a recently published article in Nurse Education in Practice in which authorship was …
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Highlight: However, their effectiveness in the healthcare sector remains uncertain. In this study, we seek to investigate the potential of ChatGPT to aid in clinical text mining by examining its ability to extract structured information from unstructured healthcare texts, with a focus on biological named entity recognition and relation extraction.
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Highlight: In this paper, we focus on a novel optimization problem in which the objective function is a black-box and can only be evaluated through a ranking oracle.
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Highlight: Considering assessing the quality of NLG models is an arduous task and previous statistical metrics notoriously show their poor correlation with human judgments, we wonder whether ChatGPT is a good NLG evaluation metric. In this report, we provide a preliminary meta-evaluation on ChatGPT to show its reliability as an NLG metric.
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Highlight: We study how in-context learning (ICL) in language models is affected by semantic priors versus input-label mappings.
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Highlight: From the perspective of unimodality, we introduce the generation tasks and relative models of text and image.
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Highlight: To explore the feasibility of ChatGPT for event extraction and the challenges it poses, we conducted a series of experiments.
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Highlight: In this paper, we examine whether ChatGPT can be used for zero-shot text classification, more specifically, automatic genre identification.
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Highlight: Our objective is to describe the research and development of industry methods to promote transparency and explainability.
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Highlight: By leveraging LLM with cross-modal encoder, an intelligent system can also process traffic data from different modalities and execute transportation operations through an LLM. We present and validate these potential transportation applications equipped by LLM.
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Abstract: ChatGPT is a generative language model tool launched by OpenAI on November 30, 2022, enabling the public to converse with a machine on a broad range of topics. In January 2023, …
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Abstract: ChatGPT (Chat Generative Pre-trained Transformer) is the latest artificial intelligence (AI) tool that has taken the internet by storm. A large language model-based AI tool, …
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Highlight: Our objectives are threefold: to provide a systematic study of the social effects of RLHF; to identify key social and ethical issues of RLHF; and to discuss social impacts for stakeholders.
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Highlight: This paper aims to highlight the potential applications and limits of a large language model (LLM) in healthcare.
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Abstract: Stevens-Johnson syndrome (SJS) and toxic epidermal necrolysis (TEN) are life-threatening spectrum diseases in which a medication triggers a mucocutaneous reaction associated with …
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Abstract: Large language models, such as ChatGPT, will have far-reaching impacts on parasitology, including on students. Authentic experiences gained during students’ training are absent …
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Highlight: In this work we present a preliminary analysis of how two versions of ChatGPT (ChatGPT3.5 and ChatGPT4) fare in the field of first-semester university physics, using a modified version of the Force Concept Inventory (FCI) to assess whether it can give correct responses to conceptual physics questions about kinematics and Newtonian dynamics.
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Abstract: Recent dramatic increases in AI language modeling capabilities has led to many questions about the effect of these technologies on the economy. In this paper we present a …
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Highlight: This paper describes the submission of UZH_CLyp for the SemEval 2023 Task 9 Multilingual Tweet Intimacy Analysis.
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Abstract: Climate change is a major global challenge that requires the integration of many different scientific disciplines, including atmospheric science, oceanography, and ecology. The …
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Highlight: This paper presents a generic evaluation framework for LLMs to assess human personalities based on Myers Briggs Type Indicator (MBTI) tests.
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Highlight: We present a case of 100% third-degree burns.
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Highlight: We presented ChatGPT with 96 advice-seeking vignettes that varied across clinical contexts, medical histories, and social characteristics.
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Highlight: In this paper, we introduce succinct representations of concepts based on category theory.
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Abstract: The recent emergence of ChatGPT has led to multiple considerations and discussions regarding the ethics and usage of AI. In particular, the potential exploitation in the …
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Abstract: Artificial intelligence has demonstrated utility and is increasingly being used in the field of radiology. The use of generative pre-trained transformer (GPT)-based models has the …
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Abstract: Natural language processing models such as ChatGPT can generate text-based content and are poised to become a major information source in medicine and beyond. The accuracy and …
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Highlight: We describe GEMBA, a GPT-based metric for assessment of translation quality, which works both with a reference translation and without.
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Abstract: At the end of 2022, the appearance of ChatGPT, an artificial intelligence (AI) chatbot with amazing writing ability, caused a great sensation in academia. The chatbot turned out …
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Abstract: ChatGPT, an artificial intelligence-driven, pretrained, deep learning language model, can generate natural language text in response to a given query. Its rapid growth has led to …
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Highlight: Given a document in a source language, cross-lingual summarization (CLS) aims to generate a summary in a different target language.
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Highlight: This paper discusses the historical overview of chatbots and the technology behind Chat Generative Pre-trained Transformer, better known as ChatGPT.
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Abstract: IMPORTANCE: Large language model (LLM) artificial intelligence (AI) chatbots direct the power of large training datasets towards successive, related tasks, as opposed to …
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Highlight: In this work, we enhanced OpenAI’s GPT-3 model through zero-shot learning, anticipating it outperforms experienced neurosurgeons.
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Highlight: The objectives included: A. Enlist the inclusion and exclusion criteria to test ChatGPT use in scientific writing B. Develop evaluation criteria to assess the quality of articles written by human authors and ChatGPT C. Compare prospectively written manuscripts by human authors and ChatGPT Design: Prospective exploratory study Intervention: Human authors and ChatGPT were asked to write short journal articles on three topics: 1) Promotion of early childhood development in Pakistan 2) Interventions to improve gender-responsive health services in low-and-middle-income countries, and 3) The pitfalls in risk communication for COVID-19.
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Abstract: Large language model (LLM) artificial intelligence (AI) chatbots direct the power of large training datasets towards successive, related tasks, as opposed to single-ask tasks, for …
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Abstract: This paper discusses the use of Artificial Intelligence Chatbot in scientific writing. ChatGPT is a type of chatbot, developed by OpenAI, that uses the Generative Pre-trained …
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Highlight: In this paper, we investigate whether faster algorithms are possible by implicitly making use of the matrix $A$.
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Highlight: In this paper, we envision a human-centered SRRL framework consisting of three stages: safe exploration, safety value alignment, and safe collaboration.
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Abstract: ChatGPT, a chatbot released by OpenAI in November 2022, has rocked academia with its capacity to generate papers good enough for academic journals. Major journals such as and …
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Highlight: Inspired by the recent success of large language models, especially the development of ChatGPT, which demonstrated improved language comprehension abilities, in this work, we propose a text data augmentation approach based on ChatGPT (named AugGPT).
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Highlight: This paper proposes a LLM-Augmenter system, which augments a black-box LLM with a set of plug-and-play modules.
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Highlight: We study the performance of a commercially available large language model (LLM) known as ChatGPT on math word problems (MWPs) from the dataset DRAW-1K.
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Abstract: Many ask authors to disclose use of ChatGPT and other generative artificial intelligence. …
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Highlight: Of the 20 suggestions that scored highest in the survey, 9 were generated by ChatGPT.
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Highlight: Of the 20 suggestions that scored highest in the survey, 9 were generated by ChatGPT.
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Abstract: Generative artificial intelligence, popularized by services like ChatGPT, has been the source of much recent popular attention for publishing health research. Another valuable …
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Highlight: In this paper, we conduct a thorough evaluation of the robustness of ChatGPT from the adversarial and out-of-distribution (OOD) perspective.
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Abstract: Generative artificial intelligence, popularized by services like ChatGPT, has been the source of much recent popular attention for publishing health research. Another valuable …
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Highlight: Eligibility criteria included the published research or preprints of any type that discussed ChatGPT in the context of healthcare education, research and practice.
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Highlight: However, the existing studies are mostly non-automated and tested on a very limited scale. In this work, we examined ChatGPT’s capabilities on 25 diverse analytical NLP tasks, most of them subjective even to humans, such as sentiment analysis, emotion recognition, offensiveness and stance detection, natural language inference, word sense disambiguation, linguistic acceptability and question answering.
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Highlight: Method: This study used the public version of ChatGPT launched by OpenAI on November 30, 2022 (https://openai.com/blog/chatgpt/).
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Abstract: Prompt engineering is an increasingly important skill set needed to converse effectively with large language models (LLMs), such as ChatGPT. Prompts are instructions given to an …
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Abstract: Background Artificial intelligence (AI) is evolving for healthcare services. Higher cognitive thinking in AI refers to the ability of the system to perform advanced cognitive …
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Abstract: The emergence of systems based on large language models (LLMs) such as OpenAI’s ChatGPT has created a range of discussions in scholarly circles. Since LLMs generate grammatically …
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Highlight: In this report, we explore the understanding ability of ChatGPT by evaluating it on the most popular GLUE benchmark, and comparing it with 4 representative fine-tuned BERT-style models.
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Highlight: Our question is “What is the probability that at least three members of the senate share the same birthday?” Before the pandemic, I asked this question in several popular math talks I gave at universities across the country.
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Highlight: In response to the Journal of Medical Science (Cureus) Turing Test – call for case reports written with the assistance of ChatGPT, we present two cases one of homocystinuria-associated osteoporosis, and the other is on late-onset Pompe disease (LOPD), a rare metabolic disorder.
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Highlight: The review covers the basic components and existing pretraining methods used in natural language processing, computer vision, and graph learning.
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Highlight: In this paper, we start by reviewing required skills and evaluation techniques.
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Highlight: This paper presents a systematic approach to using the Socratic method in developing prompt templates that effectively interact with large language models, including GPT-3.
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Highlight: We aim to demonstrate how ChatGPT could help researchers to accelerate drafting their papers.
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Highlight: In this paper, we present a comprehensive evaluation of GPT models for machine translation, covering various aspects such as quality of different GPT models in comparison with state-of-the-art research and commercial systems, effect of prompting strategies, robustness towards domain shifts and document-level translation.
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Highlight: This paper provides two contributions to research on synthesizing Bash Commands from scratch.
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Highlight: In summary, this study demonstrates the high diagnostic accuracy of differential-diagnosis lists generated by ChatGPT-3 for clinical cases with common chief complaints.
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Abstract: Being on the verge of a revolutionary approach to gathering information, ChatGPT (an artificial intelligence (AI)-based language model developed by OpenAI, and capable of …
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Highlight: Findings Among 311 invited individuals, 183 participated in the survey (59% response rate).
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Highlight: Various methods have been proposed for text summarization, including extractive and abstractive summarization.
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Abstract: Purpose This paper aims to provide an overview of key definitions related to ChatGPT, a public tool developed by OpenAI, and its underlying technology, Generative Pretrained …
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Highlight: We assess the importance of thought at each step of the research process; the roles of natural philosophy, and inconsistencies in logic and language, as drivers of scientific progress; the value of thought experiments; the use and limitations of artificial intelligence technologies, including their potential for interdisciplinary and transdisciplinary research; and other instances when theory is the most-direct and most-scientifically robust route to scientific novelty including the development of techniques for practical experimentation or fieldwork. We highlight the intrinsic need for human engagement in scientific innovation, an issue pertinent to the ongoing controversy over papers authored using/authored by artificial intelligence (such as the large language model/chatbot ChatGPT).
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Highlight: This study aims to examine the capabilities of ChatGPT in a human-centered design process.
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Highlight: Should LLMs like ChatGPT produce educational content on par with human-authored content, the implications would be significant for further scaling of computer tutoring system approaches. In this paper, we conduct the first learning gain evaluation of ChatGPT by comparing the efficacy of its hints with hints authored by human tutors with 77 participants across two algebra topic areas, Elementary Algebra and Intermediate Algebra.
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Highlight: This paper presents a method for integrating LLMs into medical-image CAD networks.
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Highlight: Modern Transformer architectures like BERT, T5 or more recently InstructGPT have achieved some impressive improvements in many NLP fields, but there is still plenty of work to do. Motivated by the uproar caused by ChatGPT, in this paper we provide an introduction to linguistic ambiguity, its varieties and their relevance in modern NLP, and perform an extensive empiric analysis.
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Highlight: This letter to the editor suggests adding a technical point to the new editorial policy expounded by Hosseini et al. on the mandatory disclosure of any use of natural language processing (NLP) systems, or generative AI, in writing scholarly publications.
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Highlight: In this work, we examine whether ChatGPT can be used for providing natural language explanations (NLEs) for implicit hateful speech detection.
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Highlight: In this paper, we present a collaborative game design framework that combines interactive evolution and large language models to simulate the typical human design process.
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Highlight: Materials and methods: Eighteen students participated in the study (nine in control and nine in the experimental group that used ChatGPT-3).
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Abstract: We evaluated the performance of a large language model called ChatGPT on the United States Medical Licensing Exam (USMLE), which consists of three exams: Step 1, Step 2CK, and …
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Highlight: In this work, we empirically analyze the zero-shot learning ability of ChatGPT by evaluating it on 20 popular NLP datasets covering 7 representative task categories.
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Highlight: For the quality measures, the model answered 76.9% of questions correctly but failed to specify the cut-off values for making medical decisions and treatment durations.
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Abstract: Could Machine Learning (ML) make fundamental discoveries and tackle unsolved problems in Cosmology? Detailed observations of the present contents of the universe are consistent …
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Abstract: Chat Generative Pre-trained Transformer (ChatGPT) is a 175-billion-parameter natural language processing model that can generate conversation-style responses to user input. This …
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Highlight: This paper proposes a framework for quantitatively evaluating interactive LLMs such as ChatGPT using publicly available data sets.
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Highlight: Design We explored the capabilities of ChatGPT for generating and rewriting vignettes.
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Highlight: This study aims to explore the originality of contents produced by one of the most popular AI chatbots, ChatGPT.
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Highlight: This study aims at investigating how early-stage AI-based transformers can support researchers in designing and conducting an epidemiological study.
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Highlight: In order to emulate humans better, we propose STAR, a framework that combines LLMs with Answer Set Programming (ASP).
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Highlight: MATERIALS AND METHODS We compared ChatGPT’s responses to the American College of Radiology (ACR) Appropriateness Criteria for breast pain and breast cancer screening.
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Abstract: Acute pulmonary edema is a rare but severe complication of hyperbaric oxygen therapy. While patients with known cardiovascular problems may be able to withstand this therapy, …
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Highlight: As such, in this paper, we examine how well ChatGPT performs when tasked with answering common questions in a popular software testing curriculum.
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Highlight: We compared ChatGPT’s responses to the American College of Radiology (ACR) Appropriateness Criteria for breast pain and breast cancer screening.
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Abstract: Due to popular successes (e.g., ChatGPT) Artificial Intelligence (AI) is on everyone’s lips today. When advances in biotechnology are combined with advances in AI unprecedented …
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Highlight: Large generative AI models (LGAIMs), such as ChatGPT or Stable Diffusion, are rapidly transforming the way we communicate, illustrate, and create.
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Highlight: The goal of this study is to assist researchers and developers in enhancing future language models and chatbots.
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Abstract: Diagnosing systemic lupus erythematosus (SLE) may be difficult in cases of negative results for antinuclear antibodies (ANAs) and anti-double stranded DNA (dsDNA) antibodies, …
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Highlight: Instead of pursuing the usual path of developing new iterations of language models, this study uniquely proposes leveraging the advancements in pre-trained large language models (LLMs) such as ChatGPT and GPT-3 to convert free-form natural language directly into code for appropriate visualisations.
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Abstract: Artificial Intelligence is no more the talk of the fiction read in novels or seen in movies. It has been making inroads slowly and gradually in medical education and clinical …
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Highlight: Recent advances in Transformer-based generative models have shown great potential to effectively follow instructions from users and generate answers based on the instructions being made. In this paper, we investigate the effectiveness of the latest of such models, ChatGPT, in generating effective Boolean queries for systematic review literature search.
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Abstract: ChatGPT is a large language model developed by OpenAI. It is trained on a dataset of conversational text and can be used to generate human-like responses to prompts in a variety …
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Highlight: To enable systematic exploration of the reasoning ability of LLMs, we present a new synthetic question-answering dataset called PrOntoQA, where each example is generated from a synthetic world model represented in first-order logic.
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Abstract: ChatGPT, the cutting-edge language model developed by OpenAI, is one of the most exciting advancements in the field of artificial intelligence. With its ability to generate …
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Highlight: In contrast to formal mathematics, where large databases of formal proofs are available (e.g., the Lean Mathematical Library), current datasets of natural-language mathematics, used to benchmark language models, only cover elementary mathematics. We address this issue by introducing a new dataset: GHOSTS.
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Highlight: To further educate future efforts on constructing ethical LLMs responsibly, we perform a qualitative research method on OpenAI’s ChatGPT to better understand the practical features of ethical dangers in recent LLMs.
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Highlight: However, prior approaches simply repeatedly sample the LLM given the same constructed input/prompt created from the original buggy code, which not only leads to generating the same incorrect patches repeatedly but also miss the critical information in testcases. To address these limitations, we propose conversational APR, a new paradigm for program repair that alternates between patch generation and validation in a conversational manner.
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Highlight: Large language models (LLM) such as OpenAI’s ChatGPT and GPT-3 offer unique testbeds for exploring the translation challenges of turning literacy into numeracy.
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Abstract: Journals have begun to publish papers in which chatbots such as ChatGPT are shown as co-authors. The following WAME recommendations are intended to inform editors and help them …
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Highlight: Large-language models like ChatGPT have recently received a great deal of attention. To assess ChatGPT in the field of genetics, we compared its performance to human respondents in answering genetics questions (involving 13,636 responses) that had been posted on social media platforms starting in 2021.
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Abstract: Large-language models like ChatGPT have recently received a great deal of attention. To assess ChatGPT in the field of genetics, we compared its performance to human respondents …
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Highlight: In this paper, we present our work-in-progress prototype GPTCompare, which allows programmers to visually compare multiple source code solutions generated by GPT-n models for the same programming-related query by highlighting their similarities and differences.
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Highlight: This study explores that question by having ChatGTP, the pre-eminent language model in 2023, work through representative assessment content of an actual calculus-based physics course and grading the responses in the same way human responses would be graded.
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Highlight: Here we present the first release of ThoughtSource, a meta-dataset and software library for chain-of-thought (CoT) reasoning.
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Highlight: This article discusses the struggle for truth in AI systems and the general responses to date.
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Highlight: We provide a theoretical framework for Reinforcement Learning with Human Feedback (RLHF).
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Abstract: We tested the accuracy of ChatGPT, a large language model (LLM), in the ophthalmology question-answering space using two popular multiple choice question banks used for the …
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Abstract: In less than 2 months, the artificial intelligence (AI) program ChatGPT has become a cultural sensation. It is freely accessible through a web portal created by the tool’s …
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Abstract: ChatGPT has demonstrated exceptional proficiency in natural language conversation, e.g., it can answer a wide range of questions while no previous large language models can. Thus, …
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Highlight: In the survey, each patient’s question was followed by a provider- or ChatGPT-generated response.
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Highlight: In the survey, each patient’s question was followed by a provider- or ChatGPT-generated response.
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Highlight: This report provides a preliminary evaluation of ChatGPT for machine translation, including translation prompt, multilingual translation, and translation robustness.
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Highlight: The bug fixing performance of ChatGPT, however, is so far unclear. Therefore, in this paper we evaluate ChatGPT on the standard bug fixing benchmark set, QuixBugs, and compare the performance with the results of several other approaches reported in the literature.
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Abstract: Today, cybersecurity is considered one of the most noteworthy topics that are circulated frequently among companies in order to protect their data from hacking operations. The …
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Highlight: In this work, we collected tens of thousands of comparison responses from both human experts and ChatGPT, with questions ranging from open-domain, financial, medical, legal, and psychological areas.
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Highlight: This report describes our PromptShots submissions to a shared task on Evaluating the Rationales of Amateur Investors (ERAI).
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Highlight: We explore the recently released ChatGPT model, one of the most powerful conversational AI models that has ever been developed. This opinion provides a perspective on its strengths and weaknesses and a call to action for the AI community (including academic researchers and industry) to work together on preventing potential misuse of such powerful AI models in our everyday lives.
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Abstract: Data about the quality of cancer information that chatbots and other artificial intelligence systems provide are limited. Here, we evaluate the accuracy of cancer information on …
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Abstract: This study aimed to compare the knowledge and interpretation ability of ChatGPT, a language model of artificial general intelligence, with those of medical students in Korea by …
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Abstract: . During the last two years there has been a plethora of large generative models such as ChatGPT or Stable Diffusion that have been published. Concretely, these models are able to …
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Abstract: On November 30, 2022, OpenAI enabled public access to ChatGPT, a next-generation artificial intelligence with a highly sophisticated ability to write, solve coding issues, and …
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Highlight: The paper illustrates ten diverse tasks that a conversational agent or large language model might answer appropriately to the effects of command-line attacker.
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Abstract: Generative artificial intelligence (AI) is ushering in an era of potential transformation of journalism and media content. This essay considers one notable generative AI platform …
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Highlight: This paper focuses on one of democratic society’s most important decision-making processes: political elections.
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Abstract: This paper provides an overview of ChatGPT, a natural language processing (NLP) system developed by Open AI. It discusses the features of ChatGPT, its benefits, and its …
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Highlight: To fill the gap, we adopt a pattern-oriented responsible AI engineering approach and build a Responsible AI Pattern Catalogue to operationalise responsible AI from a system perspective.
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Abstract: —Text data augmentation is an effective strategy for overcoming the challenge of limited sample sizes in many natural language processing (NLP) tasks. This challenge is especially …
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Abstract: This report provides a preliminary evaluation of ChatGPT for machine translation, including translation prompt, multilingual translation, and translation robustness. We adopt the …
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Highlight: Building on the prior success of large language models in the realm of computer assisted creativity, in this work, we present CoPoet, a collaborative poetry writing system, with the goal of to study if LLM�s actually improve the quality of the generated content.
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Highlight: We expect that the convincing performance of ChatGPT incentivizes users to apply it to a variety of downstream tasks, including prompting the model to simplify their own medical reports. To investigate this phenomenon, we conducted an exploratory case study.
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Highlight: Furthermore, we build Tk-Instruct, a transformer model trained to follow a variety of in-context instructions (plain language task definitions or k-shot examples).
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Highlight: In this work, we show that large language models, such as InstructGPT (Ouyang et al., 2022), perform well at zero- and few-shot information extraction from clinical text despite not being trained specifically for the clinical domain.
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Abstract: Stance detection refers to the task of extracting the standpoint (Favor, Against or Neither) towards a target in given texts. Such research gains increasing attention with the …
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Highlight: Most generated abstracts were detected using the AI output detector, with scores (higher meaning more likely to be generated) of median [interquartile range] of 99.98% [12.73, 99.98] compared with very low probability of AI-generated output in the original abstracts of 0.02% [0.02, 0.09].
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Highlight: Methods: We used two novel sets of multiple choice questions to evaluate ChatGPT’s performance, each with questions pertaining to Step 1 and Step 2.
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Highlight: In this work, we present evidence of AI generated short-form essays achieving first-class grades on an essay writing assessment fr
