wangyue — accepted AI-conference papers

2026

U2-BENCH: Benchmarking Large Vision-Language Models on Ultrasound Understanding

Anjie Le, Henan Liu, wangyue, Zhenyu Liu, Rongkun Zhu, Taohan Weng +15

ICLR 2026poster

Ultrasound is a widely-used imaging modality critical to global healthcare, yet its interpretation remains challenging due to its varying image quality on operators, noises, and anatomical structures. Although large vision-language models (LVLMs) have demonstrated impressive multimodal capabilities…

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2025

SNS-Bench: Defining, Building, and Assessing Capabilities of Large Language Models in Social Networking Services

Hongcheng Guo, wangyue, Shaosheng Cao, Fei zhao, Boyang Wang, Lei Li +5

ICML 2025poster

With the rapid advancement of Social Networking Services (SNS), the need for intelligent and efficient interaction within diverse platforms has become more crucial. Large Language Models (LLMs) play an important role in SNS as they possess the potential to revolutionize user experience, content gene…

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