{"total":198,"rows":[{"id":"2308.10792","title":"Instruction Tuning for Large Language Models: A Survey","created":"2023-08-21","cited_by_count":623,"area":null},{"id":"2303.04048","title":"Is ChatGPT a Good NLG Evaluator? A Preliminary Study","created":"2023-03-07","cited_by_count":422,"area":null},{"id":"2310.18018","title":"NLP Evaluation in trouble: On the Need to Measure LLM Data Contamination for each Benchmark","created":"2023-10-27","cited_by_count":348,"area":null},{"id":"2305.03514","title":"Can Large Language Models Transform Computational Social Science?","created":"2023-04-12","cited_by_count":250,"area":null},{"id":"2402.03927","title":"Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs","created":"2024-02-06","cited_by_count":229,"area":null},{"id":"2304.05613","title":"ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning","created":"2023-04-12","cited_by_count":206,"area":null},{"id":"2312.17617","title":"Large Language Models for Generative Information Extraction: A Survey","created":"2023-12-29","cited_by_count":185,"area":null},{"id":"2303.16854","title":"AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators","created":"2023-03-29","cited_by_count":172,"area":null},{"id":"2304.01852","title":"Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models","created":"2023-04-04","cited_by_count":154,"area":null},{"id":"2305.10160","title":"Stop Uploading Test Data in Plain Text: Practical Strategies for Mitigating Data Contamination by Evaluation Benchmarks","created":"2023-05-17","cited_by_count":142,"area":null},{"id":"2303.11032","title":"DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4","created":"2023-03-20","cited_by_count":130,"area":null},{"id":"2304.11633","title":"Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness","created":"2023-04-23","cited_by_count":130,"area":null},{"id":"2303.08559","title":"Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!","created":"2023-03-15","cited_by_count":119,"area":null},{"id":"2303.13547","title":"A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability","created":"2023-03-12","cited_by_count":119,"area":null},{"id":"2305.13626","title":"Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration","created":"2023-05-23","cited_by_count":116,"area":null},{"id":"2405.12819","title":"Large Language Models Meet NLP: A Survey","created":"2024-05-21","cited_by_count":103,"area":null},{"id":"2310.19596","title":"LLMaAA: Making Large Language Models as Active Annotators","created":"2023-10-30","cited_by_count":79,"area":null},{"id":"2308.12488","title":"GPTEval: A Survey on Assessments of ChatGPT and GPT-4","created":"2023-08-24","cited_by_count":73,"area":null},{"id":"2308.03279","title":"UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition","created":"2023-08-07","cited_by_count":72,"area":null},{"id":"2308.06374","title":"Large Language Models and Knowledge Graphs: Opportunities and Challenges","created":"2023-08-11","cited_by_count":71,"area":null},{"id":"2404.03868","title":"Extract, Define, Canonicalize: An LLM-based Framework for Knowledge Graph Construction","created":"2024-04-05","cited_by_count":70,"area":null},{"id":"2310.10035","title":"Empirical Study of Zero-Shot NER with ChatGPT","created":"2023-10-16","cited_by_count":60,"area":null},{"id":"2307.09007","title":"On the (In)Effectiveness of Large Language Models for Chinese Text Correction","created":"2023-07-18","cited_by_count":54,"area":null},{"id":"2304.05454","title":"Zero-shot Temporal Relation Extraction with ChatGPT","created":"2023-04-11","cited_by_count":53,"area":null},{"id":"2304.14670","title":"Prompt Engineering for Healthcare: Methodologies and Applications","created":"2023-04-28","cited_by_count":52,"area":null},{"id":"2309.02033","title":"Data-Juicer: A One-Stop Data Processing System for Large Language Models","created":"2023-09-05","cited_by_count":52,"area":null},{"id":"2401.01523","title":"GOAT-Bench: Safety Insights to Large Multimodal Models through Meme-Based Social Abuse","created":"2024-01-03","cited_by_count":52,"area":null},{"id":"2310.10072","title":"Fine-tuning ChatGPT for Automatic Scoring","created":"2023-10-16","cited_by_count":51,"area":null},{"id":"2305.14450","title":"An Empirical Study on Information Extraction using Large Language Models","created":"2023-05-23","cited_by_count":46,"area":null},{"id":"2309.13340","title":"Towards LLM-guided Causal Explainability for Black-box Text Classifiers","created":"2023-09-23","cited_by_count":44,"area":null},{"id":"2312.01044","title":"Large Language Models Are Zero-Shot Text Classifiers","created":"2023-12-02","cited_by_count":35,"area":null},{"id":"2305.13225","title":"Multi-Task Instruction Tuning of LLaMa for Specific Scenarios: A Preliminary Study on Writing Assistance","created":"2023-05-22","cited_by_count":33,"area":null},{"id":"2304.04256","title":"A Preliminary Evaluation of ChatGPT for Zero-shot Dialogue Understanding","created":"2023-04-09","cited_by_count":31,"area":null},{"id":"2310.05028","title":"Revisiting Large Language Models as Zero-shot Relation Extractors","created":"2023-10-08","cited_by_count":29,"area":null},{"id":"2310.13206","title":"Primacy Effect of ChatGPT","created":"2023-10-20","cited_by_count":27,"area":null},{"id":"2304.11567","title":"Differentiate ChatGPT-generated and Human-written Medical Texts","created":"2023-04-23","cited_by_count":26,"area":null},{"id":"2407.05721","title":"PsycoLLM: Enhancing LLM for Psychological Understanding and Evaluation","created":"2024-07-08","cited_by_count":26,"area":null},{"id":"2506.11094","title":"The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs","created":"2025-06-06","cited_by_count":26,"area":null},{"id":"2307.01128","title":"Iterative Zero-Shot LLM Prompting for Knowledge Graph Construction","created":"2023-07-03","cited_by_count":25,"area":null},{"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,"area":null},{"id":"2310.05066","title":"Guideline Learning for In-context Information Extraction","created":"2023-10-08","cited_by_count":24,"area":null},{"id":"2402.11254","title":"C-ICL: Contrastive In-context Learning for Information Extraction","created":"2024-02-17","cited_by_count":23,"area":null},{"id":"2306.02051","title":"A Comprehensive Survey on Relation Extraction: Recent Advances and New Frontiers","created":"2023-06-03","cited_by_count":22,"area":null},{"id":"2403.14661","title":"Towards Modeling Learner Performance with Large Language Models","created":"2024-02-29","cited_by_count":21,"area":null},{"id":"2510.20345","title":"LLM-empowered knowledge graph construction: A survey","created":"2025-10-23","cited_by_count":21,"area":null},{"id":"2310.01208","title":"Label Supervised LLaMA Finetuning","created":"2023-10-02","cited_by_count":20,"area":null},{"id":"2308.10529","title":"SeqGPT: An Out-of-the-box Large Language Model for Open Domain Sequence Understanding","created":"2023-08-21","cited_by_count":18,"area":null},{"id":"2402.05519","title":"Can ChatGPT evaluate research quality?","created":"2024-02-08","cited_by_count":17,"area":null},{"id":"2403.14888","title":"AutoRE: Document-Level Relation Extraction with Large Language Models","created":"2024-03-21","cited_by_count":16,"area":null},{"id":"2309.01398","title":"Zero-shot information extraction from radiological reports using ChatGPT","created":"2023-09-04","cited_by_count":15,"area":null},{"id":"2312.10897","title":"Generalized Category Discovery with Large Language Models in the Loop","created":"2023-12-18","cited_by_count":15,"area":null},{"id":"2402.15048","title":"Unlocking the Power of Large Language Models for Entity Alignment","created":"2024-02-23","cited_by_count":15,"area":null},{"id":"2403.00896","title":"DiaHalu: A Dialogue-level Hallucination Evaluation Benchmark for Large Language Models","created":"2024-03-01","cited_by_count":15,"area":null},{"id":"2406.08223","title":"Research Trends for the Interplay between Large Language Models and Knowledge Graphs","created":"2024-06-12","cited_by_count":15,"area":null},{"id":"2305.15024","title":"ChatAgri: Exploring Potentials of ChatGPT on Cross-linguistic Agricultural Text Classification","created":"2023-05-24","cited_by_count":14,"area":null},{"id":"2311.10395","title":"Bias A-head? Analyzing Bias in Transformer-Based Language Model Attention Heads","created":"2023-11-17","cited_by_count":14,"area":null},{"id":"2402.17256","title":"Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection","created":"2024-02-27","cited_by_count":14,"area":null},{"id":"2304.09333","title":"BIM-GPT: a Prompt-Based Virtual Assistant Framework for BIM Information Retrieval","created":"2023-04-18","cited_by_count":12,"area":null},{"id":"2304.14106","title":"ChatLog: Carefully Evaluating the Evolution of ChatGPT Across Time","created":"2023-04-27","cited_by_count":12,"area":null},{"id":"2312.02706","title":"Large Knowledge Model: Perspectives and Challenges","created":"2023-12-05","cited_by_count":12,"area":null},{"id":"2401.13218","title":"ULTRA: Unleash LLMs' Potential for Event Argument Extraction through Hierarchical Modeling and Pair-wise Self-Refinement","created":"2024-01-24","cited_by_count":12,"area":null},{"id":"2407.18786","title":"The power of Prompts: Evaluating and Mitigating Gender Bias in MT with LLMs","created":"2024-07-26","cited_by_count":12,"area":null},{"id":"2305.12212","title":"Prompting ChatGPT in MNER: Enhanced Multimodal Named Entity Recognition with Auxiliary Refined Knowledge","created":"2023-05-20","cited_by_count":11,"area":null},{"id":"2310.05185","title":"Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction","created":"2023-10-08","cited_by_count":11,"area":null},{"id":"2305.08339","title":"Assessing the potential of LLM-assisted annotation for corpus-based pragmatics and discourse analysis: The case of apology","created":"2023-05-15","cited_by_count":10,"area":null},{"id":"2305.14898","title":"PIVOINE: Instruction Tuning for Open-world Information Extraction","created":"2023-05-24","cited_by_count":10,"area":null},{"id":"2307.02839","title":"Enhancing LLM with Evolutionary Fine Tuning for News Summary Generation","created":"2023-07-06","cited_by_count":10,"area":null},{"id":"2310.14282","title":"NERetrieve: Dataset for Next Generation Named Entity Recognition and Retrieval","created":"2023-10-22","cited_by_count":10,"area":null},{"id":"2410.01154","title":"Unleashing the Power of Large Language Models in Zero-shot Relation Extraction via Self-Prompting","created":"2024-10-02","cited_by_count":10,"area":null},{"id":"2305.03253","title":"VicunaNER: Zero/Few-shot Named Entity Recognition using Vicuna","created":"2023-05-05","cited_by_count":9,"area":null},{"id":"2305.11527","title":"InstructIE: A Bilingual Instruction-based Information Extraction Dataset","created":"2023-05-19","cited_by_count":9,"area":null},{"id":"2310.02107","title":"Instances Need More Care: Rewriting Prompts for Instances with LLMs in the Loop Yields Better Zero-Shot Performance","created":"2023-10-03","cited_by_count":9,"area":null},{"id":"2311.08883","title":"Distilling Rule-based Knowledge into Large Language Models","created":"2023-11-15","cited_by_count":9,"area":null},{"id":"2402.11142","title":"Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction","created":"2024-02-17","cited_by_count":9,"area":null},{"id":"2412.18241","title":"An Automatic Graph Construction Framework based on Large Language Models for Recommendation","created":"2024-12-24","cited_by_count":9,"area":null},{"id":"2309.03433","title":"Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty","created":"2023-09-07","cited_by_count":8,"area":null},{"id":"2311.07897","title":"CPopQA: Ranking Cultural Concept Popularity by LLMs","created":"2023-11-14","cited_by_count":8,"area":null},{"id":"2405.17052","title":"SelfCP: Compressing Over-Limit Prompt via the Frozen Large Language Model Itself","created":"2024-05-27","cited_by_count":8,"area":null},{"id":"2412.03275","title":"AntLM: Bridging Causal and Masked Language Models","created":"2024-12-04","cited_by_count":8,"area":null},{"id":"2304.14770","title":"RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction","created":"2023-04-28","cited_by_count":7,"area":null},{"id":"2312.01954","title":"Zero- and Few-Shots Knowledge Graph Triplet Extraction with Large Language Models","created":"2023-12-04","cited_by_count":7,"area":null},{"id":"2402.06738","title":"EntGPT: Entity Linking with Generative Large Language Models","created":"2024-02-09","cited_by_count":7,"area":null},{"id":"2402.13741","title":"Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction","created":"2024-02-21","cited_by_count":7,"area":null},{"id":"2403.02586","title":"Improving Event Definition Following For Zero-Shot Event Detection","created":"2024-03-05","cited_by_count":7,"area":null},{"id":"2403.04931","title":"A Survey on Human-AI Collaboration with Large Foundation Models","created":"2024-03-07","cited_by_count":7,"area":null},{"id":"2404.02261","title":"LLMs in the Loop: Leveraging Large Language Model Annotations for Active Learning in Low-Resource Languages","created":"2024-04-02","cited_by_count":7,"area":null},{"id":"2404.05624","title":"LTNER: Large Language Model Tagging for Named Entity Recognition with Contextualized Entity Marking","created":"2024-04-08","cited_by_count":7,"area":null},{"id":"2407.19568","title":"Are LLMs Good Annotators for Discourse-level Event Relation Extraction?","created":"2024-07-28","cited_by_count":7,"area":null},{"id":"2410.00334","title":"Preserving Generalization of Language models in Few-shot Continual Relation Extraction","created":"2024-10-01","cited_by_count":7,"area":null},{"id":"2412.15557","title":"MORTAR: Multi-turn Metamorphic Testing for LLM-based Dialogue Systems","created":"2024-12-20","cited_by_count":7,"area":null},{"id":"2305.15268","title":"EvEval: A Comprehensive Evaluation of Event Semantics for Large Language Models","created":"2023-05-24","cited_by_count":6,"area":null},{"id":"2310.06502","title":"The Limits of ChatGPT in Extracting Aspect-Category-Opinion-Sentiment Quadruples: A Comparative Analysis","created":"2023-10-10","cited_by_count":6,"area":null},{"id":"2310.19651","title":"Dynamics of Instruction Fine-Tuning for Chinese Large Language Models","created":"2023-10-30","cited_by_count":6,"area":null},{"id":"2401.17839","title":"Global-Liar: Factuality of LLMs over Time and Geographic Regions","created":"2024-01-31","cited_by_count":6,"area":null},{"id":"2402.06221","title":"ResumeFlow: An LLM-facilitated Pipeline for Personalized Resume Generation and Refinement","created":"2024-02-09","cited_by_count":6,"area":null},{"id":"2404.03532","title":"Evaluating Generative Language Models in Information Extraction as Subjective Question Correction","created":"2024-04-04","cited_by_count":6,"area":null},{"id":"2406.01045","title":"Decompose, Enrich, and Extract! Schema-aware Event Extraction using LLMs","created":"2024-06-03","cited_by_count":6,"area":null},{"id":"2505.11665","title":"Multilingual Prompt Engineering in Large Language Models: A Survey Across NLP Tasks","created":"2025-05-16","cited_by_count":6,"area":null},{"id":"2312.16070","title":"Can ChatGPT Read Who You Are?","created":"2023-12-26","cited_by_count":5,"area":null},{"id":"2402.14710","title":"IEPile: Unearthing Large-Scale Schema-Based Information Extraction Corpus","created":"2024-02-22","cited_by_count":5,"area":null}],"next_cursor":"100"}