{"list":"other","total":87,"rows":[{"id":"2303.08774","title":"GPT-4 Technical Report","created":"2023-03-15","cited_by_count":18396},{"id":"2109.07958","title":"TruthfulQA: Measuring How Models Mimic Human Falsehoods","created":"2021-09-08","cited_by_count":2975},{"id":"2303.18223","title":"A Survey of Large Language Models","created":"2023-03-31","cited_by_count":2576},{"id":"2202.03629","title":"Survey of Hallucination in Natural Language Generation","created":"2022-02-08","cited_by_count":2075},{"id":"2005.00661","title":"On Faithfulness and Factuality in Abstractive Summarization","created":"2020-05-02","cited_by_count":900},{"id":"2303.08896","title":"SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models","created":"2023-03-15","cited_by_count":810},{"id":"2309.01219","title":"Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models","created":"2023-09-03","cited_by_count":698},{"id":"2104.07567","title":"Retrieval Augmentation Reduces Hallucination in Conversation","created":"2021-04-15","cited_by_count":692},{"id":"2303.13375","title":"Capabilities of GPT-4 on Medical Challenge Problems","created":"2023-03-20","cited_by_count":638},{"id":"2305.11747","title":"HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models","created":"2023-05-19","cited_by_count":341},{"id":"1706.03872","title":"Six Challenges for Neural Machine Translation","created":"2017-06-12","cited_by_count":335},{"id":"2303.14070","title":"ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain Knowledge","created":"2023-03-24","cited_by_count":325},{"id":"2005.03754","title":"FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization","created":"2020-05-07","cited_by_count":293},{"id":"2004.14373","title":"ToTTo: A Controlled Table-To-Text Generation Dataset","created":"2020-04-29","cited_by_count":268},{"id":"2301.13867","title":"Mathematical Capabilities of ChatGPT","created":"2023-01-31","cited_by_count":268},{"id":"1707.08052","title":"Challenges in Data-to-Document Generation","created":"2017-07-25","cited_by_count":226},{"id":"2206.04624","title":"Factuality Enhanced Language Models for Open-Ended Text Generation","created":"2022-06-09","cited_by_count":202},{"id":"2103.15025","title":"On Hallucination and Predictive Uncertainty in Conditional Language Generation","created":"2021-03-28","cited_by_count":176},{"id":"2302.03494","title":"A Categorical Archive of ChatGPT Failures","created":"2023-02-06","cited_by_count":168},{"id":"2202.06935","title":"Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text","created":"2022-02-14","cited_by_count":155},{"id":"2011.02593","title":"Detecting Hallucinated Content in Conditional Neural Sequence Generation","created":"2020-11-05","cited_by_count":152},{"id":"2307.16877","title":"Evaluating Correctness and Faithfulness of Instruction-Following Models for Question Answering","created":"2023-07-31","cited_by_count":151},{"id":"2307.00691","title":"From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy","created":"2023-07-03","cited_by_count":143},{"id":"2104.08704","title":"A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation","created":"2021-04-18","cited_by_count":138},{"id":"2204.07931","title":"On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?","created":"2022-04-17","cited_by_count":138},{"id":"2109.09784","title":"Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization","created":"2021-08-30","cited_by_count":129},{"id":"2309.07930","title":"Generative AI","created":"2023-09-13","cited_by_count":120},{"id":"2204.10757","title":"FaithDial: A Faithful Benchmark for Information-Seeking Dialogue","created":"2022-04-22","cited_by_count":109},{"id":"2104.08455","title":"Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding","created":"2021-04-17","cited_by_count":106},{"id":"2306.07906","title":"WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences","created":"2023-06-13","cited_by_count":100},{"id":"2304.09161","title":"Perspectives on Large Language Models for Relevance Judgment","created":"2023-04-13","cited_by_count":85},{"id":"2010.05873","title":"Controlled Hallucinations: Learning to Generate Faithfully from Noisy Data","created":"2020-10-12","cited_by_count":84},{"id":"2309.06794","title":"Cognitive Mirage: A Review of Hallucinations in Large Language Models","created":"2023-09-13","cited_by_count":84},{"id":"2104.14839","title":"The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey","created":"2021-04-30","cited_by_count":79},{"id":"2104.09061","title":"Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection","created":"2021-04-19","cited_by_count":76},{"id":"2110.01705","title":"Let there be a clock on the beach: Reducing Object Hallucination in Image Captioning","created":"2021-10-04","cited_by_count":76},{"id":"2004.14589","title":"Improved Natural Language Generation via Loss Truncation","created":"2020-04-30","cited_by_count":75},{"id":"2307.15051","title":"Matching Patients to Clinical Trials with Large Language Models","created":"2023-07-27","cited_by_count":69},{"id":"2210.13210","title":"Mutual Information Alleviates Hallucinations in Abstractive Summarization","created":"2022-10-24","cited_by_count":68},{"id":"2010.02443","title":"Multi-Fact Correction in Abstractive Text Summarization","created":"2020-10-06","cited_by_count":66},{"id":"1911.03905","title":"Semantic Noise Matters for Neural Natural Language Generation","created":"2019-11-10","cited_by_count":64},{"id":"1910.08684","title":"Sticking to the Facts: Confident Decoding for Faithful Data-to-Text Generation","created":"2019-10-19","cited_by_count":62},{"id":"1809.10280","title":"Unsupervised Person Image Synthesis in Arbitrary Poses","created":"2018-09-27","cited_by_count":55},{"id":"1908.09022","title":"Neural data-to-text generation: A comparison between pipeline and end-to-end architectures","created":"2019-08-23","cited_by_count":51},{"id":"2205.07830","title":"FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization","created":"2022-05-16","cited_by_count":49},{"id":"2011.10819","title":"Evaluating Semantic Accuracy of Data-to-Text Generation with Natural Language Inference","created":"2020-11-21","cited_by_count":43},{"id":"2102.02810","title":"Controlling Hallucinations at Word Level in Data-to-Text Generation","created":"2021-02-04","cited_by_count":41},{"id":"2105.11098","title":"Prevent the Language Model from being Overconfident in Neural Machine Translation","created":"2021-05-24","cited_by_count":34},{"id":"2306.06085","title":"Trapping LLM Hallucinations Using Tagged Context Prompts","created":"2023-06-09","cited_by_count":34},{"id":"2304.05510","title":"chatClimate: Grounding Conversational AI in Climate Science","created":"2023-04-11","cited_by_count":32},{"id":"1912.08166","title":"APRICOT: A Dataset of Physical Adversarial Attacks on Object Detection","created":"2019-12-17","cited_by_count":31},{"id":"2303.03278","title":"Faithfulness-Aware Decoding Strategies for Abstractive Summarization","created":"2023-03-06","cited_by_count":31},{"id":"2307.09751","title":"Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community","created":"2023-07-19","cited_by_count":29},{"id":"2307.15770","title":"CHATREPORT: Democratizing Sustainability Disclosure Analysis through LLM-based Tools","created":"2023-07-28","cited_by_count":29},{"id":"2207.02308","title":"LaMPost: Design and Evaluation of an AI-assisted Email Writing Prototype for Adults with Dyslexia","created":"2022-07-05","cited_by_count":27},{"id":"2011.13662","title":"FFCI: A Framework for Interpretable Automatic Evaluation of Summarization","created":"2020-11-27","cited_by_count":25},{"id":"2004.14754","title":"Self-Supervised and Controlled Multi-Document Opinion Summarization","created":"2020-04-30","cited_by_count":23},{"id":"2203.00130","title":"Paper Plain: Making Medical Research Papers Approachable to Healthcare Consumers with Natural Language Processing","created":"2022-02-28","cited_by_count":23},{"id":"2304.14347","title":"The Dark Side of ChatGPT: Legal and Ethical Challenges from Stochastic Parrots and Hallucination","created":"2023-04-21","cited_by_count":23},{"id":"2307.00360","title":"BatGPT: A Bidirectional Autoregessive Talker from Generative Pre-trained Transformer","created":"2023-07-01","cited_by_count":23},{"id":"2009.13312","title":"Reducing Quantity Hallucinations in Abstractive Summarization","created":"2020-09-28","cited_by_count":22},{"id":"2307.14107","title":"Decoding ChatGPT: A Taxonomy of Existing Research, Current Challenges, and Possible Future Directions","created":"2023-07-26","cited_by_count":18},{"id":"2110.05369","title":"Explainable Fact-checking through Question Answering","created":"2021-10-11","cited_by_count":16},{"id":"2308.04346","title":"Unmasking Nationality Bias: A Study of Human Perception of Nationalities in AI-Generated Articles","created":"2023-08-08","cited_by_count":16},{"id":"2302.09051","title":"Complex QA and language models hybrid architectures, Survey","created":"2023-02-17","cited_by_count":14},{"id":"2305.13338","title":"Gene Set Summarization using Large Language Models","created":"2023-05-21","cited_by_count":12},{"id":"2308.04635","title":"Where's the Liability in Harmful AI Speech?","created":"2023-08-09","cited_by_count":12},{"id":"2306.11520","title":"Hallucination is the last thing you need","created":"2023-06-20","cited_by_count":11},{"id":"2307.14522","title":"CliniDigest: A Case Study in Large Language Model Based Large-Scale Summarization of Clinical Trial Descriptions","created":"2023-07-26","cited_by_count":10},{"id":"2308.13479","title":"Prompting a Large Language Model to Generate Diverse Motivational Messages: A Comparison with Human-Written Messages","created":"2023-08-25","cited_by_count":10},{"id":"2301.02401","title":"You Truly Understand What I Need: Intellectual and Friendly Dialogue Agents grounding Knowledge and Persona","created":"2023-01-06","cited_by_count":8},{"id":"2304.11721","title":"A Lightweight Constrained Generation Alternative for Query-focused Summarization","created":"2023-04-23","cited_by_count":8},{"id":"2306.00227","title":"From human-centered to social-centered artificial intelligence: Assessing ChatGPT's impact through disruptive events","created":"2023-05-31","cited_by_count":8},{"id":"2308.06260","title":"ChatGPT-based Investment Portfolio Selection","created":"2023-08-11","cited_by_count":8},{"id":"2306.13671","title":"Deceptive AI Ecosystems: The Case of ChatGPT","created":"2023-06-18","cited_by_count":7},{"id":"2307.14634","title":"Fact-Checking of AI-Generated Reports","created":"2023-07-27","cited_by_count":7},{"id":"2304.00457","title":"LLMMaps -- A Visual Metaphor for Stratified Evaluation of Large Language Models","created":"2023-04-02","cited_by_count":6},{"id":"2306.03601","title":"The Creative Frontier of Generative AI: Managing the Novelty-Usefulness Tradeoff","created":"2023-06-06","cited_by_count":6},{"id":"2309.15942","title":"Towards Efficient and Reliable AI Through Neuromorphic Principles","created":"2023-09-27","cited_by_count":5},{"id":"2301.08914","title":"ExClaim: Explainable Neural Claim Verification Using Rationalization","created":"2023-01-21","cited_by_count":4},{"id":"2307.12402","title":"ChatGPT and Bard Responses to Polarizing Questions","created":"2023-07-13","cited_by_count":4},{"id":"2308.16374","title":"Accused: How students respond to allegations of using ChatGPT on assessments","created":"2023-08-31","cited_by_count":4},{"id":"2310.18345","title":"A Survey on Semantic Processing Techniques","created":"2023-10-22","cited_by_count":4},{"id":"2209.10041","title":"Exploring Optimal Granularity for Extractive Summarization of Unstructured Health Records: Analysis of the Largest Multi-Institutional Archive of Health Records in Japan","created":"2022-09-20","cited_by_count":3},{"id":"2309.00095","title":"Experimenting with ChatGPT for Spreadsheet Formula Generation: Evidence of Risk in AI Generated Spreadsheets","created":"2023-08-31","cited_by_count":3},{"id":"2307.10690","title":"Bridging Intelligence and Instinct: A New Control Paradigm for Autonomous Robots","created":"2023-07-20","cited_by_count":2},{"id":"2305.02555","title":"Should ChatGPT and Bard Share Revenue with Their Data Providers? A New Business Model for the AI Era","created":"2023-05-04","cited_by_count":1}],"next_cursor":null}