{"total":24,"rows":[{"id":"2302.10205","title":"ChatIE: Zero-Shot Information Extraction via Chatting with ChatGPT","created":"2023-02-20","cited_by_count":250,"area":null},{"id":"2310.03668","title":"GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction","created":"2023-10-05","cited_by_count":119,"area":null},{"id":"2301.03282","title":"Universal Information Extraction as Unified Semantic Matching","created":"2023-01-09","cited_by_count":48,"area":null},{"id":"2303.10475","title":"Large Language Model Instruction Following: A Survey of Progresses and Challenges","created":"2023-03-18","cited_by_count":31,"area":null},{"id":"2311.09562","title":"TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction","created":"2023-11-16","cited_by_count":28,"area":null},{"id":"2205.12505","title":"GENEVA: Benchmarking Generalizability for Event Argument Extraction with Hundreds of Event Types and Argument Roles","created":"2022-05-25","cited_by_count":26,"area":null},{"id":"2306.06918","title":"The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation","created":"2023-06-12","cited_by_count":19,"area":null},{"id":"2302.03353","title":"What do Language Models know about word senses? Zero-Shot WSD with Language Models and Domain Inventories","created":"2023-02-07","cited_by_count":9,"area":null},{"id":"2210.14299","title":"OpenStance: Real-world Zero-shot Stance Detection","created":"2022-10-25","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":"2305.15090","title":"STAR: Boosting Low-Resource Information Extraction by Structure-to-Text Data Generation with Large Language Models","created":"2023-05-24","cited_by_count":6,"area":null},{"id":"2404.04770","title":"Generating Uncontextualized and Contextualized Questions for Document-Level Event Argument Extraction","created":"2024-04-07","cited_by_count":5,"area":null},{"id":"2212.00301","title":"Learning to Select from Multiple Options","created":"2022-12-01","cited_by_count":4,"area":null},{"id":"2305.14163","title":"Leveraging Open Information Extraction for More Robust Domain Transfer of Event Trigger Detection","created":"2023-05-23","cited_by_count":4,"area":null},{"id":"2408.04246","title":"Explicating the Implicit: Argument Detection Beyond Sentence Boundaries","created":"2024-08-08","cited_by_count":4,"area":null},{"id":"2402.18061","title":"On the use of Silver Standard Data for Zero-shot Classification Tasks in Information Extraction","created":"2024-02-28","cited_by_count":3,"area":null},{"id":"2401.16293","title":"Textual Entailment for Effective Triple Validation in Object Prediction","created":"2024-01-29","cited_by_count":2,"area":null},{"id":"2404.06392","title":"Event Extraction in Basque: Typologically motivated Cross-Lingual Transfer-Learning Analysis","created":"2024-04-09","cited_by_count":2,"area":null},{"id":"2502.09567","title":"MorphNLI: A Stepwise Approach to Natural Language Inference Using Text Morphing","created":"2025-02-13","cited_by_count":2,"area":null},{"id":"2403.03863","title":"X-Shot: A Unified System to Handle Frequent, Few-shot and Zero-shot Learning Simultaneously in Classification","created":"2024-03-06","cited_by_count":1,"area":null},{"id":"2404.16413","title":"Asking and Answering Questions to Extract Event-Argument Structures","created":"2024-04-25","cited_by_count":1,"area":null},{"id":"2406.00226","title":"Entangled Relations: Leveraging NLI and Meta-analysis to Enhance Biomedical Relation Extraction","created":"2024-05-31","cited_by_count":0,"area":null},{"id":"2406.02079","title":"Assessing the Performance of Chinese Open Source Large Language Models in Information Extraction Tasks","created":"2024-06-04","cited_by_count":0,"area":null},{"id":"2506.12823","title":"Medical Argument Mining: Exploitation of Scarce Data Using NLI Systems","created":"2025-06-15","cited_by_count":0,"area":null}],"next_cursor":null}