Papers by Yijie Pan

2 papers
Unveiling the Key Factors for Distilling Chain-of-Thought Reasoning (2025.findings-acl)

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Challenge: Large Language Models (LLMs) excel in reasoning tasks through Chain-of-Thought prompting.
Approach: They examine the factors influencing CoT distillation including granularity, format and teacher model.
Outcome: The proposed model is based on four teacher models and seven student models across seven mathematical and commonsense reasoning datasets.
VisiPruner: Decoding Discontinuous Cross-Modal Dynamics for Efficient Multimodal LLMs (2025.emnlp-main)

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Challenge: Multimodal Large Language Models (MLLMs) suffer from significant computational overhead due to the quadratic growth of attention computations with the number of multimodal tokens.
Approach: They propose a training-free pruning framework that prunes multimodal tokens without a trained pruning method.
Outcome: The proposed pruning framework outperforms existing token pruning methods and generalizes across diverse MLLMs.

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