Author

Si-Yuan Li

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#machine learning Review Sep 2026

Complex Problem Solving in Large Language Models: A Statistical Control Survey and Diagnostic Framework

This framework organizes existing methods around five components: explicit state representation, transition structuring, validation and constraint enforcement, search and rollback, and uncertainty management, and yields a diagnostic hypothesis: interventions should be most effective when they target the error or uncert...

Jia-Zhang Cai, Tao Wang, Rui-Dong Zhang et al. · 0 citations

#artificial intelligence Preprint Sep 2026

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

PIVOT introduces a self-calibrated experience replay mechanism, which selectively collects and replays visually-grounded historical experiences as stable reference anchors for policy optimization, and designs a vision-guided advantage allocation mechanism to allocate additional vision-aware advantages to tokens based o...

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. · 1 citation