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Meng-Lin Yang

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#artificial intelligence Preprint Oct 2026

REWIND: Uncertainty-Guided Trajectory Repair for Test-Time Reasoning

An early mistake in the generated reasoning can constrain all subsequent reasoning. Repeated-generation methods, like MCMC-based approaches, attempt to improve output quality by sampling multiple generations, but their effectiveness can be limited by randomly selecting where to regenerate. On MATH500 with Qwen2.5-Math-...

Yi-Cheng Ding, Meng-Yu Wang, Min Zhou et al. · 0 citations
Preprint Aug 2026

SCIT: Testing Causal Cache Carriers in Latent Chain-of-Thought Models

SCIT, the Suffix Cache Interchange Test, is introduced, a causal protocol that constructs exact source-recipient counterfactuals, patches declared cache segments, and identifies which transformer object carries the counterfactual computation.

Yi-Cheng Ding, Li-Jun Huang, Meng-Lin Yang · 1 citation
#computer vision Review Aug 2026

Learning to Look Again: Loss-Gap Supervision for Free-form Crop Routing in Vision-Language Models

GapSight is proposed, a framework for learning visual re-reading: a VLM first takes a global glance, then selectively returns to a free-form region when the question calls for local evidence, and Mechanism analyses show that the router rescues concrete wrong answers, adapts its action rate by task, and forms a favorabl...

Jin-Chang Zhu, Rong Fu, Yi-Cheng Ding et al. · 1 citation

Where Does Long-Context Supervision Actually Go? Effective-Context Exposure Balancing

ExACT, a supervision-allocation objective that assigns extra weight to long effective-context targets by inverse frequency within the long tail, supports a supervision-centric thesis: long-context adaptation depends on how strongly training supervises long-context predictions.

Jinchang Zhu, Jindong Li, Chengyu Zou et al. · 4 citations

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