most citedRecent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium

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cs.CL2026

MedRedFlag: Investigating how LLMs Redirect Misconceptions in Real-World Health Communication

Sraavya Sambara, Yuan Pu, Ayman Ali +3

Real-world health questions from patients often unintentionally embed false assumptions or premises. In such cases, safe medical communication typically involves redirection: addre…

cs.CL2025

Counting Clues: A Lightweight Probabilistic Baseline Can Match an LLM

Furong Jia, Yuan Pu, Finn Guo +1

Large language models (LLMs) excel on multiple-choice clinical diagnosis benchmarks, yet it is unclear how much of this performance reflects underlying probabilistic reasoning. We…