Author

Hao Yan

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#artificial intelligence Preprint Sep 2026

Targeted Retrieval, Compact Representations: How CoT Reasoning Improves Long-Context Counting

Large language models (LLMs) have been rapidly improving in long-context tasks, powered by Chain-of-Thought (CoT) reasoning. However, the internal mechanisms underlying this improvement remain unclear. We investigate these mechanisms through a needle-in-a-haystack (NIAH) counting task, where an LLM is asked to count th...

Liang Twist Shan, Tian-Yu Hu, Hao Yan et al. · 0 citations

#artificial intelligence Preprint Sep 2026

UniCAR-RL: Seeing Better before Thinking Deeper in Visual Mathematics

Multimodal Large Language Models (MLLMs) often struggle with complex mathematical visual reasoning primarily due to a lack of fine-grained perception, causing initial visual hallucinations to directly trigger cascading reasoning failures. In traditional end-to-end reinforcement learning (RL), sparse rewards fail to dec...

Yu-Zhe Li, Hao Yan, Hao Wang et al. · 0 citations