{"list":"other","total":51,"rows":[{"id":"1810.04805","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","created":"2018-10-11","cited_by_count":40399},{"id":"2005.14165","title":"Language Models are Few-Shot Learners","created":"2020-05-28","cited_by_count":32419},{"id":"1910.10683","title":"Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer","created":"2019-10-23","cited_by_count":14599},{"id":"1904.09675","title":"BERTScore: Evaluating Text Generation with BERT","created":"2019-04-21","cited_by_count":5512},{"id":"2204.02311","title":"PaLM: Scaling Language Modeling with Pathways","created":"2022-04-05","cited_by_count":5326},{"id":"2303.16634","title":"G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment","created":"2023-03-29","cited_by_count":2276},{"id":"1803.05355","title":"FEVER: a large-scale dataset for Fact Extraction and VERification","created":"2018-03-14","cited_by_count":1375},{"id":"2305.03111","title":"Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs","created":"2023-05-04","cited_by_count":688},{"id":"2301.07597","title":"How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection","created":"2023-01-18","cited_by_count":481},{"id":"2303.04048","title":"Is ChatGPT a Good NLG Evaluator? A Preliminary Study","created":"2023-03-07","cited_by_count":422},{"id":"2304.13712","title":"Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond","created":"2023-04-26","cited_by_count":411},{"id":"2108.11896","title":"A Survey on Automated Fact-Checking","created":"2021-08-26","cited_by_count":378},{"id":"2301.13867","title":"Mathematical Capabilities of ChatGPT","created":"2023-01-31","cited_by_count":268},{"id":"2305.15005","title":"Sentiment Analysis in the Era of Large Language Models: A Reality Check","created":"2023-05-24","cited_by_count":268},{"id":"2304.03439","title":"Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4","created":"2023-04-07","cited_by_count":202},{"id":"2305.12744","title":"Fact-Checking Complex Claims with Program-Guided Reasoning","created":"2023-05-22","cited_by_count":146},{"id":"2305.18486","title":"A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets","created":"2023-05-29","cited_by_count":123},{"id":"2302.08081","title":"Exploring the Limits of ChatGPT for Query or Aspect-based Text Summarization","created":"2023-02-16","cited_by_count":122},{"id":"2303.13547","title":"A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability","created":"2023-03-12","cited_by_count":119},{"id":"1604.07370","title":"Parsing Argumentation Structures in Persuasive Essays","created":"2016-04-25","cited_by_count":101},{"id":"2304.04339","title":"Is ChatGPT a Good Sentiment Analyzer? A Preliminary Study","created":"2023-04-10","cited_by_count":96},{"id":"2305.01219","title":"Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models","created":"2023-05-02","cited_by_count":94},{"id":"1911.01214","title":"A Richly Annotated Corpus for Different Tasks in Automated Fact-Checking","created":"2019-10-29","cited_by_count":74},{"id":"2305.13091","title":"Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization","created":"2023-05-22","cited_by_count":70},{"id":"2305.15038","title":"Is GPT-4 a Good Data Analyst?","created":"2023-05-24","cited_by_count":70},{"id":"1601.02403","title":"Argumentation Mining in User-Generated Web Discourse","created":"2016-01-11","cited_by_count":69},{"id":"2304.04193","title":"Extractive Summarization via ChatGPT for Faithful Summary Generation","created":"2023-04-09","cited_by_count":59},{"id":"1708.01425","title":"The Argument Reasoning Comprehension Task: Identification and Reconstruction of Implicit Warrants","created":"2017-08-04","cited_by_count":56},{"id":"2304.05454","title":"Zero-shot Temporal Relation Extraction with ChatGPT","created":"2023-04-11","cited_by_count":53},{"id":"2302.13795","title":"ChatGPT: A Meta-Analysis after 2.5 Months","created":"2023-02-20","cited_by_count":51},{"id":"1906.03717","title":"Argument Generation with Retrieval, Planning, and Realization","created":"2019-06-09","cited_by_count":45},{"id":"2005.00084","title":"Aspect-Controlled Neural Argument Generation","created":"2020-04-30","cited_by_count":43},{"id":"1704.06104","title":"Neural End-to-End Learning for Computational Argumentation Mining","created":"2017-04-20","cited_by_count":41},{"id":"2004.14677","title":"AMPERSAND: Argument Mining for PERSuAsive oNline Discussions","created":"2020-04-30","cited_by_count":39},{"id":"1805.10254","title":"Neural Argument Generation Augmented with Externally Retrieved Evidence","created":"2018-05-25","cited_by_count":34},{"id":"2306.09821","title":"Unlocking the Potential of User Feedback: Leveraging Large Language Model as User Simulator to Enhance Dialogue System","created":"2023-06-16","cited_by_count":32},{"id":"2302.13814","title":"An Independent Evaluation of ChatGPT on Mathematical Word Problems (MWP)","created":"2023-02-23","cited_by_count":31},{"id":"2304.04256","title":"A Preliminary Evaluation of ChatGPT for Zero-shot Dialogue Understanding","created":"2023-04-09","cited_by_count":31},{"id":"2010.03538","title":"Exploring the Role of Argument Structure in Online Debate Persuasion","created":"2020-10-07","cited_by_count":26},{"id":"2305.08391","title":"Uncovering the Potential of ChatGPT for Discourse Analysis in Dialogue: An Empirical Study","created":"2023-05-15","cited_by_count":24},{"id":"2203.12257","title":"IAM: A Comprehensive and Large-Scale Dataset for Integrated Argument Mining Tasks","created":"2022-03-23","cited_by_count":23},{"id":"2105.11752","title":"Argument Undermining: Counter-Argument Generation by Attacking Weak Premises","created":"2021-05-25","cited_by_count":22},{"id":"2112.03473","title":"Improving Neural Cross-Lingual Summarization via Employing Optimal Transport Distance for Knowledge Distillation","created":"2021-12-07","cited_by_count":22},{"id":"2204.04026","title":"Fair and Argumentative Language Modeling for Computational Argumentation","created":"2022-04-08","cited_by_count":18},{"id":"2106.01064","title":"Generating Informative Conclusions for Argumentative Texts","created":"2021-06-02","cited_by_count":14},{"id":"2010.09459","title":"Unsupervised Expressive Rules Provide Explainability and Assist Human Experts Grasping New Domains","created":"2020-10-19","cited_by_count":13},{"id":"2305.19902","title":"AQE: Argument Quadruplet Extraction via a Quad-Tagging Augmented Generative Approach","created":"2023-05-31","cited_by_count":9},{"id":"1908.08336","title":"Argument Invention from First Principles","created":"2019-08-22","cited_by_count":8},{"id":"2109.09057","title":"Knowledge-Enhanced Evidence Retrieval for Counterargument Generation","created":"2021-09-19","cited_by_count":6},{"id":"1907.11889","title":"Towards Effective Rebuttal: Listening Comprehension using Corpus-Wide Claim Mining","created":"2019-07-27","cited_by_count":4},{"id":"2305.15872","title":"Jointprop: Joint Semi-supervised Learning for Entity and Relation Extraction with Heterogeneous Graph-based Propagation","created":"2023-05-25","cited_by_count":2}],"next_cursor":null}