{"total":53,"rows":[{"id":"2312.17617","title":"Large Language Models for Generative Information Extraction: A Survey","created":"2023-12-29","cited_by_count":185,"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":"2210.03050","title":"State-of-the-art generalisation research in NLP: A taxonomy and review","created":"2022-10-06","cited_by_count":98,"area":null},{"id":"2310.12321","title":"A Survey of GPT-3 Family Large Language Models Including ChatGPT and GPT-4","created":"2023-10-04","cited_by_count":81,"area":null},{"id":"2210.12714","title":"Generative Knowledge Graph Construction: A Review","created":"2022-10-23","cited_by_count":49,"area":null},{"id":"2311.08993","title":"When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks","created":"2023-11-15","cited_by_count":37,"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":"2208.07989","title":"DICE: Data-Efficient Clinical Event Extraction with Generative Models","created":"2022-08-16","cited_by_count":20,"area":null},{"id":"2204.07434","title":"ERGO: Event Relational Graph Transformer for Document-level Event Causality Identification","created":"2022-04-15","cited_by_count":19,"area":null},{"id":"2305.16734","title":"AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction Model","created":"2023-05-26","cited_by_count":19,"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":"2405.01884","title":"Beyond Single-Event Extraction: Towards Efficient Document-Level Multi-Event Argument Extraction","created":"2024-05-03","cited_by_count":12,"area":null},{"id":"2211.01577","title":"Open-Vocabulary Argument Role Prediction for Event Extraction","created":"2022-11-03","cited_by_count":11,"area":null},{"id":"2306.08966","title":"Training Multimedia Event Extraction With Generated Images and Captions","created":"2023-06-15","cited_by_count":11,"area":null},{"id":"2309.14258","title":"OmniEvent: A Comprehensive, Fair, and Easy-to-Use Toolkit for Event Understanding","created":"2023-09-25","cited_by_count":11,"area":null},{"id":"2208.13017","title":"A Multi-Format Transfer Learning Model for Event Argument Extraction via Variational Information Bottleneck","created":"2022-08-27","cited_by_count":10,"area":null},{"id":"2306.00502","title":"Revisiting Event Argument Extraction: Can EAE Models Learn Better When Being Aware of Event Co-occurrences?","created":"2023-06-01","cited_by_count":10,"area":null},{"id":"2410.08820","title":"Which Demographics do LLMs Default to During Annotation?","created":"2024-10-11","cited_by_count":10,"area":null},{"id":"2302.04459","title":"Global Constraints with Prompting for Zero-Shot Event Argument Classification","created":"2023-02-09","cited_by_count":8,"area":null},{"id":"2305.19162","title":"An AMR-based Link Prediction Approach for Document-level Event Argument Extraction","created":"2023-05-30","cited_by_count":8,"area":null},{"id":"2311.06555","title":"LLMs Learn Task Heuristics from Demonstrations: A Heuristic-Driven Prompting Strategy for Document-Level Event Argument Extraction","created":"2023-11-11","cited_by_count":8,"area":null},{"id":"2305.13469","title":"MAILEX: Email Event and Argument Extraction","created":"2023-05-22","cited_by_count":6,"area":null},{"id":"2311.09105","title":"MAVEN-Arg: Completing the Puzzle of All-in-One Event Understanding Dataset with Event Argument Annotation","created":"2023-11-15","cited_by_count":6,"area":null},{"id":"2404.12242","title":"CMNEE: A Large-Scale Document-Level Event Extraction Dataset based on Open-Source Chinese Military News","created":"2024-04-18","cited_by_count":6,"area":null},{"id":"2405.10517","title":"Towards Better Question Generation in QA-based Event Extraction","created":"2024-05-17","cited_by_count":6,"area":null},{"id":"2406.12420","title":"MMUTF: Multimodal Multimedia Event Argument Extraction with Unified Template Filling","created":"2024-06-18","cited_by_count":6,"area":null},{"id":"2305.01901","title":"Few-shot Event Detection: An Empirical Study and a Unified View","created":"2023-05-03","cited_by_count":5,"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":"2305.18926","title":"Document-Level Multi-Event Extraction with Event Proxy Nodes and Hausdorff Distance Minimization","created":"2023-05-30","cited_by_count":4,"area":null},{"id":"2403.09721","title":"A Semantic Mention Graph Augmented Model for Document-Level Event Argument Extraction","created":"2024-03-12","cited_by_count":4,"area":null},{"id":"2405.13325","title":"DEGAP: Dual Event-Guided Adaptive Prefixes for Templated-Based Event Argument Extraction with Slot Querying","created":"2024-05-22","cited_by_count":3,"area":null},{"id":"2409.09322","title":"A Compressive Memory-based Retrieval Approach for Event Argument Extraction","created":"2024-09-14","cited_by_count":3,"area":null},{"id":"2210.15843","title":"Bi-Directional Iterative Prompt-Tuning for Event Argument Extraction","created":"2022-10-28","cited_by_count":2,"area":null},{"id":"2212.02036","title":"Query Your Model with Definitions in FrameNet: An Effective Method for Frame Semantic Role Labeling","created":"2022-12-05","cited_by_count":2,"area":null},{"id":"2310.14512","title":"CorefPrompt: Prompt-based Event Coreference Resolution by Measuring Event Type and Argument Compatibilities","created":"2023-10-23","cited_by_count":2,"area":null},{"id":"2212.08929","title":"Modeling Instance Interactions for Joint Information Extraction with Neural High-Order Conditional Random Field","created":"2022-12-17","cited_by_count":1,"area":null},{"id":"2303.14452","title":"COFFEE: A Contrastive Oracle-Free Framework for Event Extraction","created":"2023-03-25","cited_by_count":1,"area":null},{"id":"2403.15097","title":"Argument-Aware Approach To Event Linking","created":"2024-03-22","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":"2406.14075","title":"EXCEEDS: Extracting Complex Events via Nugget-based Grid Modeling in Scientific Domain","created":"2024-06-20","cited_by_count":1,"area":null},{"id":"2411.08708","title":"Are Triggers Needed for Document-Level Event Extraction?","created":"2024-11-13","cited_by_count":1,"area":null},{"id":"2511.03610","title":"A systematic review of relation extraction task since the emergence of Transformers","created":"2025-11-05","cited_by_count":1,"area":null},{"id":"2210.01561","title":"Causal Intervention-based Prompt Debiasing for Event Argument Extraction","created":"2022-10-04","cited_by_count":0,"area":null},{"id":"2306.17733","title":"Token-Event-Role Structure-based Multi-Channel Document-Level Event Extraction","created":"2023-06-30","cited_by_count":0,"area":null},{"id":"2308.02103","title":"Prompt2Gaussia: Uncertain Prompt-learning for Script Event Prediction","created":"2023-08-04","cited_by_count":0,"area":null},{"id":"2403.03304","title":"Large Language Models for Document-Level Event-Argument Data Augmentation for Challenging Role Types","created":"2024-03-05","cited_by_count":0,"area":null},{"id":"2404.08579","title":"Small Models Are (Still) Effective Cross-Domain Argument Extractors","created":"2024-04-12","cited_by_count":0,"area":null},{"id":"2409.00214","title":"Enhancing Document-level Argument Extraction with Definition-augmented Heuristic-driven Prompting for LLMs","created":"2024-08-30","cited_by_count":0,"area":null},{"id":"2410.09418","title":"Beyond Exact Match: Semantically Reassessing Event Extraction by Large Language Models","created":"2024-10-12","cited_by_count":0,"area":null},{"id":"2501.06825","title":"Event Argument Extraction with Enriched Prompts","created":"2025-01-12","cited_by_count":0,"area":null},{"id":"2512.15312","title":"Evaluating LLMs for Zeolite Synthesis Event Extraction (ZSEE): A Systematic Analysis of Prompting Strategies","created":"2025-12-17","cited_by_count":0,"area":null},{"id":"2609.29230","title":"EAGER: Enhancing Generative Event Extraction via Reinforcement Learning with Verifiable Rewards","created":"2026-09-24","cited_by_count":0,"area":null}],"next_cursor":null}