3 papers
cs.AI2026
Heuristic Classification of Thoughts Prompting (HCoT): Integrating Expert System Heuristics for Structured Reasoning into Large Language Models
Lei Lin, Jizhao Zhu, Yong Liu +3
This paper addresses two limitations of large language models (LLMs) in solving complex problems: (1) their reasoning processes exhibit Bayesian-like stochastic generation, where e…
cs.CL2026
Note2Chat: Improving LLMs for Multi-Turn Clinical History Taking Using Medical Notes
Yang Zhou, Zhenting Sheng, Mingrui Tan +6
Effective clinical history taking is a foundational yet underexplored component of clinical reasoning. While large language models (LLMs) have shown promise on static benchmarks, t…
cs.AI2026
Aligning Medical Conversational AI through Online Reinforcement Learning with Information-Theoretic Rewards
Tanvi Verma, Yang Zhou, Rick Siow Mong Goh +1
We present Information Gain Fine-Tuning (IGFT), a novel approach for training medical conversational AI to conduct effective patient interviews and generate comprehensive History o…