Papers by GongZhang GongZhang

1 papers
AS-ES Learning: Towards efficient CoT learning in small models (2024.findings-acl)

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Challenge: Existing methods to induce Chain-of-Thought (CoT) in LLMs are limited and do not consider the importance of efficiently utilizing existing CoT data.
Approach: They propose a new training paradigm which exploits the inherent information in CoT for iterative generation.
Outcome: The proposed training paradigm surpasses direct seq2seq training on CoT-extensive tasks without data augmentation or altering the model itself.

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