Author

Gouki Minegishi

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Jul 2026

Visual Access Boundaries in Vision-Language Model Reasoning

A symbolic-attribute oracle shows that CoT can improve counting once ground-truth attributes are supplied as text, while a single-object probe-vs-decode check shows that hard attributes can be linearly recoverable from hidden states yet difficult for the model itself to output.

Hiroto Osaka, Shohei Taniguchi, Gouki Minegishi et al. · arXiv.org · 1 citation

#artificial intelligence May 2026

Zipping the Thought: When and How Compressed Reasoning Data Works in LLM Post-Training

A taxonomy of CoT is proposed consisting of Explicit CoT, which outputs all operations without aggregation, Composed CoT, which combines multiple operations into a single step, and Implicit CoT, which omits intermediate operations.

Kohsei Matsutani, Gouki Minegishi, Takeshi Kojima et al. · arXiv.org · 1 citation