{"total":80,"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":"2210.12810","title":"Code4Struct: Code Generation for Few-Shot Event Structure Prediction","created":"2022-10-23","cited_by_count":70,"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":"2208.07989","title":"DICE: Data-Efficient Clinical Event Extraction with Generative Models","created":"2022-08-16","cited_by_count":20,"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":"2307.05567","title":"Event Extraction as Question Generation and Answering","created":"2023-07-10","cited_by_count":16,"area":null},{"id":"2205.12585","title":"TAGPRIME: A Unified Framework for Relational Structure Extraction","created":"2022-05-25","cited_by_count":15,"area":null},{"id":"2305.18641","title":"Enhanced Chart Understanding in Vision and Language Task via Cross-modal Pre-training on Plot Table Pairs","created":"2023-05-29","cited_by_count":15,"area":null},{"id":"2212.10233","title":"Pre-trained Language Models for Keyphrase Generation: A Thorough Empirical Study","created":"2022-12-20","cited_by_count":13,"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":"2404.07376","title":"LLMs in Biomedicine: A study on clinical Named Entity Recognition","created":"2024-04-10","cited_by_count":12,"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":"2202.08063","title":"Information Extraction in Low-Resource Scenarios: Survey and Perspective","created":"2022-02-16","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":"2309.08943","title":"Contextual Label Projection for Cross-Lingual Structured Prediction","created":"2023-09-16","cited_by_count":9,"area":null},{"id":"2410.03594","title":"Explicit, Implicit, and Scattered: Revisiting Event Extraction to Capture Complex Arguments","created":"2024-10-04","cited_by_count":9,"area":null},{"id":"2301.10915","title":"Parameter-Efficient Low-Resource Dialogue State Tracking by Prompt Tuning","created":"2023-01-26","cited_by_count":8,"area":null},{"id":"2310.16131","title":"GenKIE: Robust Generative Multimodal Document Key Information Extraction","created":"2023-10-24","cited_by_count":8,"area":null},{"id":"2212.10708","title":"Zero-shot Triplet Extraction by Template Infilling","created":"2022-12-21","cited_by_count":7,"area":null},{"id":"2311.09733","title":"MOKA: Moral Knowledge Augmentation for Moral Event Extraction","created":"2023-11-16","cited_by_count":7,"area":null},{"id":"2404.01679","title":"Event Detection from Social Media for Epidemic Prediction","created":"2024-04-02","cited_by_count":7,"area":null},{"id":"2410.18393","title":"SPEED++: A Multilingual Event Extraction Framework for Epidemic Prediction and Preparedness","created":"2024-10-24","cited_by_count":7,"area":null},{"id":"2209.12099","title":"Controllable Text Generation for Open-Domain Creativity and Fairness","created":"2022-09-24","cited_by_count":6,"area":null},{"id":"2210.10709","title":"Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction","created":"2022-10-19","cited_by_count":6,"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":"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":"2401.02034","title":"Text2MDT: Extracting Medical Decision Trees from Medical Texts","created":"2024-01-04","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":"2305.09193","title":"Easy-to-Hard Learning for Information Extraction","created":"2023-05-16","cited_by_count":5,"area":null},{"id":"2310.10481","title":"DemoSG: Demonstration-enhanced Schema-guided Generation for Low-resource Event Extraction","created":"2023-10-16","cited_by_count":5,"area":null},{"id":"2502.16838","title":"REGen: A Reliable Evaluation Framework for Generative Event Argument Extraction","created":"2025-02-24","cited_by_count":4,"area":null},{"id":"2205.12490","title":"Improve Event Extraction via Self-Training with Gradient Guidance","created":"2022-05-25","cited_by_count":3,"area":null},{"id":"2210.03419","title":"Event Extraction: A Survey","created":"2022-10-07","cited_by_count":3,"area":null},{"id":"2305.09598","title":"Boosting Event Extraction with Denoised Structure-to-Text Augmentation","created":"2023-05-16","cited_by_count":3,"area":null},{"id":"2305.13521","title":"CEO: Corpus-based Open-Domain Event Ontology Induction","created":"2023-05-22","cited_by_count":3,"area":null},{"id":"2310.18619","title":"Dense Retrieval as Indirect Supervision for Large-space Decision Making","created":"2023-10-28","cited_by_count":3,"area":null},{"id":"2401.15385","title":"Towards Event Extraction from Speech with Contextual Clues","created":"2024-01-27","cited_by_count":3,"area":null},{"id":"2402.14052","title":"On Leveraging Encoder-only Pre-trained Language Models for Effective Keyphrase Generation","created":"2024-02-21","cited_by_count":3,"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":"2502.17394","title":"SNaRe: Domain-aware Data Generation for Low-Resource Event Detection","created":"2025-02-24","cited_by_count":3,"area":null},{"id":"2503.03303","title":"SEOE: A Scalable and Reliable Semantic Evaluation Framework for Open Domain Event Detection","created":"2025-03-05","cited_by_count":3,"area":null},{"id":"2212.10547","title":"Semantically-informed Hierarchical Event Modeling","created":"2022-12-20","cited_by_count":2,"area":null},{"id":"2305.13617","title":"SPEECH: Structured Prediction with Energy-Based Event-Centric Hyperspheres","created":"2023-05-23","cited_by_count":2,"area":null},{"id":"2305.14225","title":"ManiTweet: A New Benchmark for Identifying Manipulation of News on Social Media","created":"2023-05-23","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":"2404.04763","title":"GenEARL: A Training-Free Generative Framework for Multimodal Event Argument Role Labeling","created":"2024-04-07","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":"2406.11455","title":"Adaptive Reinforcement Learning Planning: Harnessing Large Language Models for Complex Information Extraction","created":"2024-06-17","cited_by_count":2,"area":null},{"id":"2408.06583","title":"A Structure-aware Generative Model for Biomedical Event Extraction","created":"2024-08-13","cited_by_count":2,"area":null},{"id":"2503.02628","title":"Towards Event Extraction with Massive Types: LLM-based Collaborative Annotation and Partitioning Extraction","created":"2025-03-04","cited_by_count":2,"area":null},{"id":"2506.00980","title":"LEMONADE: A Large Multilingual Expert-Annotated Abstractive Event Dataset for the Real World","created":"2025-06-01","cited_by_count":2,"area":null},{"id":"2208.09659","title":"Trigger-free Event Detection via Derangement Reading Comprehension","created":"2022-08-20","cited_by_count":1,"area":null},{"id":"2212.10770","title":"ImPaKT: A Dataset for Open-Schema Knowledge Base Construction","created":"2022-12-21","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":"2305.03517","title":"Few-shot Domain-Adaptive Visually-fused Event Detection from Text","created":"2023-05-04","cited_by_count":1,"area":null},{"id":"2305.09335","title":"MsPrompt: Multi-step Prompt Learning for Debiasing Few-shot Event Detection","created":"2023-05-16","cited_by_count":1,"area":null},{"id":"2310.15569","title":"MuLMS: A Multi-Layer Annotated Text Corpus for Information Extraction in the Materials Science Domain","created":"2023-10-24","cited_by_count":1,"area":null},{"id":"2403.00891","title":"A Regularization-based Transfer Learning Method for Information Extraction via Instructed Graph Decoder","created":"2024-03-01","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":"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":"2411.18811","title":"NewsEdits 2.0: Learning the Intentions Behind Updating News","created":"2024-11-27","cited_by_count":1,"area":null},{"id":"2509.15620","title":"SciEvent: Benchmarking Multi-domain Scientific Event Extraction","created":"2025-09-19","cited_by_count":1,"area":null},{"id":"2601.21767","title":"Evaluating ChatGPT on Medical Information Extraction Tasks: Performance, Explainability and Beyond","created":"2026-01-29","cited_by_count":1,"area":null},{"id":"2608.31058","title":"Improving Information Extraction with Learned Queries","created":"2026-08-31","cited_by_count":1,"area":null},{"id":"2212.12800","title":"A Marker-based Neural Network System for Extracting Social Determinants of Health","created":"2022-12-24","cited_by_count":0,"area":null},{"id":"2306.10787","title":"Adaptive Ordered Information Extraction with Deep Reinforcement Learning","created":"2023-06-19","cited_by_count":0,"area":null},{"id":"2310.10487","title":"Type-aware Decoding via Explicitly Aggregating Event Information for Document-level Event Extraction","created":"2023-10-16","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":"2505.12970","title":"A Structured Literature Review on Traditional Approaches in Current Natural Language Processing","created":"2025-05-19","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":"2604.21885","title":"A Multimodal Text- and Graph-Based Approach for Open-Domain Event Extraction from Documents","created":"2026-04-23","cited_by_count":0,"area":null},{"id":"2608.23235","title":"A Multi-Domain and Multi-Task Generative Framework with Explicit Task and Domain Conditioning for Cross-Domain Event Extraction","created":"2026-08-24","cited_by_count":0,"area":null},{"id":"2608.23261","title":"A Scalable Cross-Domain Event Extraction System via a Unified Generative Training Framework","created":"2026-08-24","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},{"id":"2610.12580","title":"CLUE: A Contrastive Learning Framework for Unsupervised Event Type Induction and Annotation","created":"2026-10-08","cited_by_count":0,"area":null}],"next_cursor":null}