arXiv Computation and Language October 28, 2026 By Kegeng Tang, Jingbo Wang, Yangming Zhang, Huanshu Zhang, Shaogang Ren, Zihao Wang

Latent Visual Contrastive Reasoning with Multi-Branch Exploration

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The paper introduces Latent Visual Contrastive Reasoning, a branch-aware latent reasoning framework that generates multiple question-conditioned latent visual branches as soft hypotheses over image tokens. It trains these branches using bounding‑box evidence annotations and a soft contrastive branch‑evidence alignment objective, encouraging evidence‑relevant branches to align with annotated visual regions while contrasting against negative evidence. Experiments on perception‑intensive visual reasoning benchmarks demonstrate that the method improves performance over the corresponding backbone and single‑path latent reasoning baselines at both 3B and 7B scales.

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