Weixiang Sun — accepted AI-conference papers

2026

Can LLMs Move Beyond Short Exchanges to Realistic Therapy Conversations?

Zhengqing Yuan, Liang Wu, Jian Xu, Zheyuan Zhang, Kaiwen Shi, Weixiang Sun +2

ICLR 2026poster

Recent incidents have revealed that large language models (LLMs) deployed in mental health contexts can generate unsafe guidance, including reports of chatbots encouraging self-harm. Such risks highlight the urgent need for rigorous, clinically valid evaluation before integration into care. However,…

Cited by 0 Source ↗Scholar ↗

2026

Vision-MoR: Scaling Vision Transformer via Patch-Level Mixture-of-Recursions

Yunhong He, Zhengqing Yuan, Weixiang Sun, Yiyang Li, Yixin Liu, Yanfang Ye +1

AAAI 2026technical

Scaling Vision Transformers (ViTs) has yielded remarkable advancements in diverse vision tasks, albeit at the cost of escalating computational, memory, and parameter demands. Existing efficiency techniques typically address only one dimension, computation, memory, or parameters, lacking a cohesive a

Cited by 0 Source ↗PDF ↗Scholar ↗