Papers with causal LM distillation

1 papers
Plug and Play Knowledge Distillation for kNN-LM with External Logits (2022.aacl-short)

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Challenge: Despite the promising evaluation results by knowledge distillation (KD) in natural language understanding (NLU) and sequence-to-sequence (seq2sequ) tasks, KD for causal language modeling (LM) remains a challenge.
Approach: They propose to use external logits to improve a student's kNN-LM by leveraging teacher's knowledge at test time.
Outcome: The proposed method improves a student's kNN-LM in multiple language modeling datasets and improves perplexity.

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