{"total":33,"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":"2304.14670","title":"Prompt Engineering for Healthcare: Methodologies and Applications","created":"2023-04-28","cited_by_count":52,"area":null},{"id":"2210.12714","title":"Generative Knowledge Graph Construction: A Review","created":"2022-10-23","cited_by_count":49,"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":"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":"2211.05955","title":"MEE: A Novel Multilingual Event Extraction Dataset","created":"2022-11-11","cited_by_count":17,"area":null},{"id":"2409.10927","title":"Propulsion: Steering LLM with Tiny Fine-Tuning","created":"2024-09-17","cited_by_count":14,"area":null},{"id":"2310.05991","title":"Enhancing Document-level Event Argument Extraction with Contextual Clues and Role Relevance","created":"2023-10-08","cited_by_count":10,"area":null},{"id":"2410.08598","title":"Parameter-Efficient Fine-Tuning of Large Language Models using Semantic Knowledge Tuning","created":"2024-10-11","cited_by_count":10,"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":"2302.04459","title":"Global Constraints with Prompting for Zero-Shot Event Argument Classification","created":"2023-02-09","cited_by_count":8,"area":null},{"id":"2210.08646","title":"EventGraph: Event Extraction as Semantic Graph Parsing","created":"2022-10-16","cited_by_count":4,"area":null},{"id":"2405.08729","title":"Targeted Augmentation for Low-Resource Event Extraction","created":"2024-05-14","cited_by_count":4,"area":null},{"id":"2210.16064","title":"DORE: Document Ordered Relation Extraction based on Generative Framework","created":"2022-10-28","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":"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":"2210.15843","title":"Bi-Directional Iterative Prompt-Tuning for Event Argument Extraction","created":"2022-10-28","cited_by_count":2,"area":null},{"id":"2305.17373","title":"Zero- and Few-Shot Event Detection via Prompt-Based Meta Learning","created":"2023-05-27","cited_by_count":2,"area":null},{"id":"2306.14633","title":"JSEEGraph: Joint Structured Event Extraction as Graph Parsing","created":"2023-06-26","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":"2406.06577","title":"RAG-based Crowdsourcing Task Decomposition via Masked Contrastive Learning with Prompts","created":"2024-06-04","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":"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":"2305.03517","title":"Few-shot Domain-Adaptive Visually-fused Event Detection from Text","created":"2023-05-04","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":"2509.06984","title":"FediLoRA: Practical Federated Fine-Tuning of Foundation Models Under Missing-Modality Constraints","created":"2025-09-01","cited_by_count":1,"area":null},{"id":"2305.13499","title":"Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefixes","created":"2023-05-22","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":"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":"2512.03402","title":"Dual LoRA: Enhancing LoRA with Magnitude and Direction Updates","created":"2025-12-03","cited_by_count":0,"area":null}],"next_cursor":null}