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Qinjian Zhao

2 accepted papers

2026

Plan Then Action: High-Level Planning Guidance Reinforcement Learning for LLM Reasoning

ICML 2026poster

Large language models (LLMs) demonstrate strong reasoning abilities via Chain-of-Thought (CoT), but their token-level generation encourages local decisions and lacks global planning, often leading to redundant or inaccurate reasoning. Existing methods, such as tree-based search and reinforcement lea…

Cited by 0SourceScholar
2025

SRPO: Enhancing Multimodal LLM Reasoning via Reflection-Aware Reinforcement Learning

NeurIPS 2025poster

Multimodal large language models (MLLMs) have shown promising capabilities in reasoning tasks, yet still struggle significantly with complex problems requiring explicit self-reflection and self-correction, especially compared to their unimodal text-based counterparts. Existing reflection methods are…

Cited by 0SourceScholar