Papers by Guoqiang Gong

1 papers
Beyond Logits: Aligning Feature Dynamics for Effective Knowledge Distillation (2025.acl-long)

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Challenge: Knowledge distillation (KD) compresses large language models into lightweight versions called student models.
Approach: They propose to align the entire feature dynamics between teacher and student models by using two additional loss terms to achieve this.
Outcome: The proposed method matches the entire feature dynamics between teacher and student models rather than just the final states.

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