activity
20242026
collaborators

10 papers

cs.AI2026

Deferred Exposure of Future Trajectories for Verifiable Reasoning in Autonomous Driving VLMs

Zixuan Huang, Yang Zhou, Kaixuan Wang +7

Recent Vision-Language-Action (VLA) models for autonomous driving (AD) increasingly utilize chain-of-thought (CoT) supervision to enhance the reasoning capabilities of their Vision…

cs.LG2026

MedExpMem: Adapting Experience Memory for Differential Diagnosis

Qianhan Feng, Zhongzhen Huang, Yakun Zhu +4

Experienced physicians develop diagnostic expertise through clinical practice, acquiring not only disease knowledge but also the ability to differentiate confusable conditions. Cur…

cs.AI2026

MedMCP-Calc: Benchmarking LLMs for Realistic Medical Calculator Scenarios via MCP Integration

Yakun Zhu, Yutong Huang, Shengqian Qin +3

Medical calculators are fundamental to quantitative, evidence-based clinical practice. However, their real-world use is an adaptive, multi-stage process, requiring proactive EHR da…

cs.AI2025

MedCEG: Reinforcing Verifiable Medical Reasoning with Critical Evidence Graph

Linjie Mu, Yannian Gu, Zhongzhen Huang +3

Large language models with reasoning capabilities have demonstrated impressive performance across a wide range of domains. In clinical applications, a transparent, step-by-step rea…

cs.AI2025

CP-Env: Evaluating Large Language Models on Clinical Pathways in a Controllable Hospital Environment

Yakun Zhu, Zhongzhen Huang, Qianhan Feng +5

Medical care follows complex clinical pathways that extend beyond isolated physician-patient encounters, emphasizing decision-making and transitions between different stages. Curre…

cs.CV2025

UCAgents: Unidirectional Convergence for Visual Evidence Anchored Multi-Agent Medical Decision-Making

Qianhan Feng, Zhongzhen Huang, Yakun Zhu +2

Vision-Language Models (VLMs) show promise in medical diagnosis, yet suffer from reasoning detachment, where linguistically fluent explanations drift from verifiable image evidence…