Papers by Yiru Tang

2 papers
Enhancing Chain-of-Thought Reasoning via Neuron Activation Differential Analysis (2025.emnlp-main)

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Challenge: Existing studies focus on optimizing external components of CoT, but lack internal explanations for the quality of the model's outputs.
Approach: They propose an efficient method to identify reasoning-critical neurons by analyzing their activation patterns under reasoning chains of varying quality.
Outcome: The proposed method shows that neurons in the feed-forward layers are critical in the generation of high-quality reasoning chains.
LLMBox: A Comprehensive Library for Large Language Models (2024.acl-demos)

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Challenge: a library to facilitate the development, use, and evaluation of large language models (LLMs) is presented.
Approach: They propose a unified library to facilitate the development, use and evaluation of large language models (LLMs).
Outcome: The proposed library is based on extensive experiments in a variety of evaluation settings.

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