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Masahiro Suzuki

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#artificial intelligence Preprint Sep 2026

VIF-Bench: Evaluating Visual Instruction Following in Multi-Reference Image Generation

VIF-Bench is introduced, a benchmark of 1,241 tasks designed to assess the edge of model capabilities in this joint setting in which multiple references must be composed under multiple and heterogeneous visual-instruction images, and uncover three findings.

Yuta Oshima, Masakazu Yoshimura, Masahiro Suzuki et al. · 0 citations
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. · 1 citation
Preprint Aug 2026

Steering Recurrent Reasoners at Inference Time with Readout Feedback

Readout Feedback (RoFB), a test-time intervention that converts intermediate predictions into token-wise pairwise coupling forces injected into the latent dynamics, is introduced, suggesting that closed-loop steering of latent dynamics can serve as a complementary inference-time control mechanism for recurrent reasonin...

Shunsuke Kamiya, Masanori Koyama, Seongcheol Jeong et al. · 0 citations

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