collaborators

5 papers

cs.SD2026

Beyond Text Following: Repairable Arbitration Reversals in Audio-Language Models

Yichen Gao, Yiqun Zhang, Zijing Wang +7

Audio-language models (ALMs) often follow text that conflicts with audio, even when the audio evidence is clear. This raises a basic question: is the audio-supported answer unavail…

cs.IR2026

SAILRec: Steering LLM Attention to Dual-Side Semantically Aligned Collaborative Embeddings for Recommendation

Xi Wu, Jiale Wang, Zihan Wang +5

Recent LLM-based recommenders enhance language models with collaborative embeddings from user-item interactions, but making such embeddings available does not ensure their proper u…

cs.CL2026

MedExAgent: Training LLM Agents to Ask, Examine, and Diagnose in Noisy Clinical Environments

Yicheng Gao, Xiaolin Zhou, Yahan Li +2

Real-world clinical diagnosis is a complex process in which the doctor is required to obtain information from both interaction with the patient and conducting medical exams. Additi…

cs.CL2026

Beyond Idealized Patients: Evaluating LLMs under Challenging Patient Behaviors in Medical Consultations

Yahan Li, Xinyi Jie, Wanjia Ruan +5

Large language models (LLMs) are increasingly used for medical consultation and health information support. In this high-stakes setting, safety depends not only on medical knowledg…

cs.CV2025

FairREAD: Re-fusing Demographic Attributes after Disentanglement for Fair Medical Image Classification

Yicheng Gao, Jinkui Hao, Bo Zhou

Recent advancements in deep learning have shown transformative potential in medical imaging, yet concerns about fairness persist due to performance disparities across demographic s…