[PDF] arxiv.org

UMASS_BioNLP at MEDIQA-Chat 2023: Can LLMs generate high-quality synthetic note-oriented doctor-patient conversations?

J Wang, Z Yao, A Mitra, S Osebe, Z Yang… - arXiv preprint arXiv …, 2023 - arxiv.org
This paper presents UMASS_BioNLP team participation in the MEDIQA-Chat 2023 shared
task for Task-A and Task-C. We focus especially on Task-C and propose a novel LLMs …
被引用次数：11 相关文章 所有 4 个版本
[PDF] arxiv.org

NoteChat: a dataset of synthetic doctor-patient conversations conditioned on clinical notes

J Wang, Z Yao, Z Yang, H Zhou, R Li, X Wang… - arXiv preprint arXiv …, 2023 - arxiv.org
The detailed clinical records drafted by doctors after each patient's visit are crucial for
medical practitioners and researchers. Automating the creation of these notes with language …
被引用次数：7 相关文章 所有 2 个版本
[PDF] aclanthology.org

Team Cadence at MEDIQA-Chat 2023: Generating, augmenting and summarizing clinical dialogue with large language models

A Sharma, D Feldman, A Jain - Proceedings of the 5th Clinical …, 2023 - aclanthology.org
Abstract This paper describes Team Cadence's winning submission to Task C of the
MEDIQA-Chat 2023 shared tasks. We also present the set of methods, including a novel N …
被引用次数：6 相关文章 所有 3 个版本
[PDF] aclanthology.org

Overview of the mediqa-chat 2023 shared tasks on the summarization & generation of doctor-patient conversations

AB Abacha, W Yim, G Adams, N Snider… - Proceedings of the …, 2023 - aclanthology.org
Automatic generation of clinical notes from doctor-patient conversations can play a key role
in reducing daily doctors' workload and improving their interactions with the patients …
被引用次数：38 相关文章 所有 2 个版本
[PDF] arxiv.org

Pulsar at mediqa-sum 2023: Large language models augmented by synthetic dialogue convert patient dialogues to medical records

V Schlegel, H Li, Y Wu, A Subramanian… - arXiv preprint arXiv …, 2023 - arxiv.org
This paper describes PULSAR, our system submission at the ImageClef 2023 MediQA-Sum
task on summarising patient-doctor dialogues into clinical records. The proposed framework …
被引用次数：7 相关文章 所有 5 个版本
[PDF] arxiv.org

Wanglab at mediqa-chat 2023: Clinical note generation from doctor-patient conversations using large language models

J Giorgi, A Toma, R Xie, SS Chen, KR An… - arXiv preprint arXiv …, 2023 - arxiv.org
This paper describes our submission to the MEDIQA-Chat 2023 shared task for automatic
clinical note generation from doctor-patient conversations. We report results for two …
被引用次数：14 相关文章 所有 5 个版本
[PDF] arxiv.org

Gersteinlab at mediqa-chat 2023: Clinical note summarization from doctor-patient conversations through fine-tuning and in-context learning

X Tang, A Tran, J Tan, M Gerstein - arXiv preprint arXiv:2305.05001, 2023 - arxiv.org
This paper presents our contribution to the MEDIQA-2023 Dialogue2Note shared task,
encompassing both subtask A and subtask B. We approach the task as a dialogue …
被引用次数：8 相关文章 所有 5 个版本
[PDF] arxiv.org

Lmsys-chat-1m: A large-scale real-world llm conversation dataset

L Zheng, WL Chiang, Y Sheng, T Li, S Zhuang… - arXiv preprint arXiv …, 2023 - arxiv.org
Studying how people interact with large language models (LLMs) in real-world scenarios is
increasingly important due to their widespread use in various applications. In this paper, we …
被引用次数：57 相关文章 所有 3 个版本
[PDF] arxiv.org

Chatgpt as your personal data scientist

MM Hassan, A Knipper, SKK Santu - arXiv preprint arXiv:2305.13657, 2023 - arxiv.org
The rise of big data has amplified the need for efficient, user-friendly automated machine
learning (AutoML) tools. However, the intricacy of understanding domain-specific data and …
被引用次数：16 相关文章
[PDF] arxiv.org

Bianque: Balancing the questioning and suggestion ability of health llms with multi-turn health conversations polished by chatgpt

Y Chen, Z Wang, X Xing, Z Xu, K Fang, J Wang… - arXiv preprint arXiv …, 2023 - arxiv.org
Large language models (LLMs) have performed well in providing general and extensive
health suggestions in single-turn conversations, exemplified by systems such as ChatGPT …
被引用次数：22 相关文章 所有 3 个版本