{"total":14,"rows":[{"id":"2309.04269","title":"From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting","created":"2023-09-08","cited_by_count":52,"area":null},{"id":"2310.15959","title":"NoteChat: A Dataset of Synthetic Doctor-Patient Conversations Conditioned on Clinical Notes","created":"2023-10-24","cited_by_count":48,"area":null},{"id":"2309.07382","title":"Less is More for Long Document Summary Evaluation by LLMs","created":"2023-09-14","cited_by_count":28,"area":null},{"id":"2405.20613","title":"FineRadScore: A Radiology Report Line-by-Line Evaluation Technique Generating Corrections with Severity Scores","created":"2024-05-31","cited_by_count":18,"area":null},{"id":"2312.15561","title":"README: Bridging Medical Jargon and Lay Understanding for Patient Education through Data-Centric NLP","created":"2023-12-24","cited_by_count":17,"area":null},{"id":"2402.12566","title":"GenAudit: Fixing Factual Errors in Language Model Outputs with Evidence","created":"2024-02-19","cited_by_count":10,"area":null},{"id":"2310.05857","title":"Improving Summarization with Human Edits","created":"2023-10-09","cited_by_count":7,"area":null},{"id":"2404.12041","title":"A Survey of Automatic Hallucination Evaluation on Natural Language Generation","created":"2024-04-18","cited_by_count":7,"area":null},{"id":"2402.15422","title":"A Data-Centric Approach To Generate Faithful and High Quality Patient Summaries with Large Language Models","created":"2024-02-23","cited_by_count":6,"area":null},{"id":"2401.02369","title":"SPEER: Sentence-Level Planning of Long Clinical Summaries via Embedded Entity Retrieval","created":"2024-01-04","cited_by_count":5,"area":null},{"id":"2404.13307","title":"Beyond Accuracy: Investigating Error Types in GPT-4 Responses to USMLE Questions","created":"2024-04-20","cited_by_count":5,"area":null},{"id":"2409.18170","title":"Evaluation of Large Language Models for Summarization Tasks in the Medical Domain: A Narrative Review","created":"2024-09-26","cited_by_count":3,"area":null},{"id":"2311.09684","title":"Do Physicians Know How to Prompt? The Need for Automatic Prompt Optimization Help in Clinical Note Generation","created":"2023-11-16","cited_by_count":2,"area":null},{"id":"2605.28740","title":"Reverse Probing: Supervised Token-level Uncertainty Quantification for Large Language Models in Clinical Text","created":"2026-05-27","cited_by_count":0,"area":null}],"next_cursor":null}