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Author

Sijie Cheng

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#artificial intelligence Preprint Sep 2026

Probability is Not Enough: Exploring and Counting Divergent Tokens for Reasoning Uncertainty Quantification in LLMs

As the chain-of-thought reasoning capabilities of large language models improve, evaluating and calibrating their reasoning confidence is becoming increasingly important for quantifying the uncertainty of their answers. Current methods for estimating the confidence of large language models are generally based on probab...

Fei-Yang Li, Sheng-Jing Liu, Qi Zhan et al. · 0 citations
Jul 2026

CADER: Confidence-Aware Dynamic Evidence Reasoning for Long-Video Understanding

Long-video understanding increasingly relies on large vision-language models and tool-augmented reasoning, but most systems apply the same inference procedure to every example regardless of difficulty. This uniform strategy invokes unnecessary tool-assisted processing for easy questions and provides limited control whe...

Jinlong Yang, Wenhao Zhang, Kuanwei Lin et al. · 0 citations
#natural language process... Preprint Sep 2026

ROAM: Robust Organization of Atomic Memories for Agents through Semantic Relations

Long-term language-model agents rely on external memory across interactions. Atomic memories are particularly useful: their fine-grained semantic boundaries enable precise retrieval and direct comparison between observations. Yet accumulating atoms inevitably become redundant, overlapping, or conflicting. Existing meth...

Jianjie Zheng, Peng Lai, Sijie Cheng et al. · 0 citations

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