Author

Yi-Sen Wang

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#machine learning Jun 2026

Diagnosing Visual Ignorance in Vision-Language Models

Across three VLMs and twelve benchmarks, this work tracks the answer-relevant information decodable at each decoder layer and measures when it becomes coupled to the final output, and distinguishes the availability of visual information from its influence on prediction.

Run-Yu Zhou, Qi Zhang, Qixun Wang et al. · arXiv.org · 2 citations · ⚡1

#machine learning Preprint Sep 2026

Assessing Adversarial Robustness of Latent Reasoning Models

Large language models increasingly rely on long chain-of-thought (CoT) trajectories for complex reasoning, but autoregressive generation brings substantial memory and inference costs. Latent reasoning models (LRMs) offer a more efficient alternative by compressing intermediate reasoning into a small number of continuou...

Shao-Long Chen, Ang Li, Ming-Jie Li et al. · 0 citations

Review Aug 2026

VisDocAgentBench: Benchmarking Agents for Visually Rich Document Retrieval

This work introduces VisDocAgentBench, a closed-corpus benchmark comparing static and agentic retrieval under a shared ranked-output contract, and motivates retrieval agents that combine modality-preserving discovery with evidence-directed verification.

Lexiang Hu, Yanzhao Zhang, Mingxin Li et al. · 0 citations