activity
20232026
most citedEchoBench: Benchmarking Sycophancy in Medical Large Vision-Language Models

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2026

The Surprising Effectiveness of Video Diffusion Models for Hand Motion Reconstruction

Yuxi Wang, Chengkai Jin, Yufei Liu +6

4D hand motion reconstruction from egocentric video is bottlenecked by clear limitations of existing methods: image-based pipelines depend on a detector that fails under heavy occl…

cs.CV2026

Hand2World: Autoregressive Egocentric Interaction Generation via Free-Space Hand Gestures

Yuxi Wang, Wenqi Ouyang, Tianyi Wei +3

Egocentric interactive world models are essential for augmented reality and embodied AI, where visual generation must respond to user input with low latency, geometric consistency,…

cs.SE2026

Rethinking Scientific Modeling: Toward Physically Consistent and Simulation-Executable Programmatic Generation

Yongqing Jiang, Jianze Wang, Zhiqi Shen +5

Structural modeling is a fundamental component of computational engineering science, in which even minor physical inconsistencies or specification violations may invalidate downstr…

cs.HC2025

An Efficient Interaction Human-AI Synergy System Bridging Visual Awareness and Large Language Model for Intensive Care Units

Yibowen Zhao, Yiming Cao, Zhiqi Shen +4

Intensive Care Units (ICUs) are critical environments characterized by high-stakes monitoring and complex data management. However, current practices often rely on manual data tran…

cs.CV2025★ 1 cited

EchoBench: Benchmarking Sycophancy in Medical Large Vision-Language Models

Botai Yuan, Yutian Zhou, Yingjie Wang +9

Recent benchmarks for medical Large Vision-Language Models (LVLMs) emphasize leaderboard accuracy, overlooking reliability and safety. We study sycophancy -- models' tendency to un…

cs.AI2025

Modeling Human Responses to Multimodal AI Content

Zhiqi Shen, Shaojing Fan, Danni Xu +2

As AI-generated content becomes widespread, so does the risk of misinformation. While prior research has primarily focused on identifying whether content is authentic, much less is…

cs.CV2023

UNK-VQA: A Dataset and a Probe into the Abstention Ability of Multi-modal Large Models

Yangyang Guo, Fangkai Jiao, Zhiqi Shen +2

Teaching Visual Question Answering (VQA) models to refrain from answering unanswerable questions is necessary for building a trustworthy AI system. Existing studies, though have ex…