Zonghai Yao

BioInstruct: instruction tuning of large language models for biomedical natural language processing

2024 · 38 Zit. · Journal of the American Medical Informatics Association

Performance of Multimodal GPT-4V on USMLE with Image: Potential for Imaging Diagnostic Support with Explanations

2023 · 35 Zit. · medRxiv

Unveiling GPT-4V's hidden challenges behind high accuracy on USMLE questions: Observational Study

2025 · 25 Zit. · Journal of Medical Internet Research

JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering Capability

2024 · 11 Zit. · arXiv (Cornell University)

MedQA-CS: Objective Structured Clinical Examination (OSCE)-Style Benchmark for Evaluating LLM Clinical Skills

2024 · 2 Zit. · arXiv (Cornell University)

NoteChat: A Dataset of Synthetic Doctor-Patient Conversations Conditioned on Clinical Notes

2023 · 1 Zit. · arXiv (Cornell University)

EHR Interaction Between Patients and AI: NoteAid EHR Interaction

2023 · 1 Zit. · arXiv (Cornell University)

Do Large Language Models Know When Not to Answer in Medical QA?

2025 · 1 Zit.

A Survey on LLM-based Multi-Agent AI Hospital

2025 · 0 Zit. · OSF Preprints (OSF Preprints)

MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning

2025 · 0 Zit. · ArXiv.org

Knowing When to Abstain: Medical LLMs Under Clinical Uncertainty

2026 · 0 Zit. · ArXiv.org

ChatCLIDS: Simulating Persuasive AI Dialogues to Promote Closed-Loop Insulin Adoption in Type 1 Diabetes Care

2025 · 0 Zit. · ArXiv.org

Knowing When to Abstain: Medical LLMs Under Clinical Uncertainty

2026 · 0 Zit. · arXiv (Cornell University)

ChatCLIDS: Simulating Persuasive AI Dialogues to Promote Closed-Loop Insulin Adoption in Type 1 Diabetes Care

2026 · 0 Zit. · Proceedings of the AAAI Conference on Artificial Intelligence

Knowing When to Abstain: Medical LLMs Under Clinical Uncertainty

2026 · 0 Zit.