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Yijie Pan

2 accepted papers

2025

Unveiling the Key Factors for Distilling Chain-of-Thought Reasoning

ACL 2025finding

Large Language Models (LLMs) excel in reasoning tasks through Chain-of-Thought (CoT) prompting. However, CoT prompting greatly increases computational demands, which has prompted growing interest in distilling CoT capabilities into Small Language Models (SLMs). This study systematically examines the…

2025

VisiPruner: Decoding Discontinuous Cross-Modal Dynamics for Efficient Multimodal LLMs

EMNLP 2025

Multimodal Large Language Models (MLLMs) have achieved strong performance across vision-language tasks, but suffer from significant computational overhead due to the quadratic growth of attention computations with the number of multimodal tokens. Though efforts have been made to prune tokens in MLLM

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