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J. Hamm

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#artificial intelligence Review Sep 2026

Deny Without Disabling: Authorization-Paired Evaluation and Control for Multi-Agent Systems

Multi-agent systems derive their capabilities from sharing evidence, delegating tasks, and combining information across agents. The same process creates a safety problem: contributions that are admissible in isolation can jointly enable a prohibited use. Blocking every sensitive action avoids disclosure but defeats the...

Yun-Bei Zhang, Saiyue Lyu, Janet Wang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

How Medical VLMs Underutilize Their Vision Encoders: A Dermatology Perspective

Medical Vision-Language Models (VLMs) show significant promise for clinical image understanding, offering accurate diagnosis with interpretable reasoning. However, a critical performance gap exists between their strong vision encoders and the full multimodal model: in dermatology, the MedSigLIP encoder outperforms MedG...

Janet Wang, Yun-Bei Zhang, Xiao Wang et al. · 0 citations
#artificial intelligence Preprint Sep 2026

LIBERO-MAX: Do Robot Policies Adapt When the World Changes?

Robots must often continue a task after a target moves, the viewpoint shifts, or an obstacle appears, even though their earlier observations and committed actions reflect the previous scene. Many simulation robustness benchmarks fix external conditions at reset, leaving this temporal challenge underexamined. We introdu...

Yun-Bei Zhang, Zi-Jian Jin, Yuan-Zhe Liu et al. · 0 citations
Preprint Aug 2026

Intervention-Aware Clinical World Model for Post-Op Outcome Forecasting in Cardiology

An intervention-aware clinical world model that represents each patient with a structured latent state and evolves it through time-ordered post-intervention events is proposed that represents each patient with a structured latent state and evolves it through time-ordered post-intervention events.

Y. Chung, Ying-Shuo Liu, Abboud Hassan et al. · 0 citations
Review Jul 2026

Continual Test-Time Adaptation in Computer Vision: Methods, Benchmarks, and Future Directions

This comprehensive survey formally defines the CTTA problem, analyzes the diverse continual domain shift patterns that characterize different evaluation protocols, and proposes a hierarchical taxonomy that categorizes existing methods into three families: optimization-based strategies (entropy minimization, pseudo-labe...

Sarthak Kumar Maharana, Shambhavi Mishra, Yunbei Zhang et al. · 2 citations

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