clinical note generation

Are LLMs reliable? An exploration of the reliability of large language models in clinical note generation ACL 2025 Process-Supervised Reward Models for Verifying Clinical Note Generation: A Scalable Approach Guided by Domain Expertise EMNLP 2025 Towards Adapting Open-Source Large Language Models for Expert-Level Clinical Note Generation ACL 2025 Comparing Two Model Designs for Clinical Note Generation; Is an LLM a Useful Evaluator of Consistency? NAACL 2024 DocLens: Multi-aspect Fine-grained Evaluation for Medical Text Generation ACL 2024 Do Clinicians Know How to Prompt? The Need for Automatic Prompt Optimization Help in Clinical Note Generation ACL 2024 An Empirical Study of Clinical Note Generation from Doctor-Patient Encounters EACL 2023 An Investigation of Evaluation Methods in Automatic Medical Note Generation ACL 2023 Calvados at MEDIQA-Chat 2023: Improving Clinical Note Generation with Multi-Task Instruction Finetuning ACL 2023 Investigating the Utility of Synthetic Data for Doctor-Patient Conversation Summarization Interspeech 2023 Overview of the MEDIQA-Chat 2023 Shared Tasks on the Summarization & Generation of Doctor-Patient Conversations ACL 2023 Teddysum at MEDIQA-Chat 2023: an analysis of fine-tuning strategy for long dialog summarization ACL 2023 WangLab at MEDIQA-Chat 2023: Clinical Note Generation from Doctor-Patient Conversations using Large Language Models ACL 2023 Human Evaluation and Correlation with Automatic Metrics in Consultation Note Generation ACL 2022 Towards Automating Medical Scribing : Clinic Visit Dialogue2Note Sentence Alignment and Snippet Summarization NAACL 2021 Extracting relevant information from physician-patient dialogues for automated clinical note taking EMNLP 2019 Learning to Summarize Electronic Health Records Using Cross-Modality Correspondences MLHC 2018