Preprint
Oct 2026
RECAP: Looking Once Is Not Enough for Vision-Language Reasoning
Long chain-of-thought reasoning improves vision-language models (VLMs), but it also exposes a temporal grounding failure: as generation unfolds, models may drift from image evidence while reinforcement learning still provides only a final-answer reward. We study this gap through visual revisit, a temporally localized r...
Zhaolu Kang, Tai-Long Luo, Chen-Xin Li et al.
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