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Xin-Xin Song

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#artificial intelligence Preprint Sep 2026

Anchoring What Matters: A Dual-Level Learning Framework for Visually-Grounded Multimodal Reasoning

Reinforcement learning with verifiable rewards (RLVR) has significantly improved the reasoning capabilities of large vision-language models (LVLMs). However, standard on-policy RLVR algorithms face a critical optimization bottleneck in preserving and reinforcing visually grounded reasoning behaviors: valuable visually-...

Xin-Xin Song, Si-Yuan Li, Tingxiong Xiao et al. · 0 citations
#artificial intelligence Preprint Sep 2026

CARE: Contrastive Anchor-based Rubric Evolution for Large Language Model Post-Training

CARE is proposed, which grounds every rubric evolution step in a high-quality anchor response generated by a frontier model conditioned on the prompt and its rubrics, enabling two complementary mechanisms: an Adaptive branch that reactively repairs reward misspecification; and a Chase branch that proactively converts f...

Si-Yuan Li, Xin-Xin Song, Rui-Nian Chen et al. · 0 citations

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