Papers with logit-based KD
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. |
Evaluating distillation methods for data-efficient syntax learning (2025.findings-emnlp)
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| Challenge: | knowledge distillation (KD) targeting attention should selectively accelerate syntax acquisition, a study finds . logit-based KD dramatically improves data-efficiency, attention-based one provides minimal benefit even for syntactic tasks. |
| Approach: | a study predicts that knowledge distillation targeting attention should selectively accelerate syntax acquisition . a systolic analysis of student models compared to logit-based knowledge distillations . |
| Outcome: | a new study shows that knowledge distillation (KD) targeting attention accelerates syntax acquisition . the hypothesis is tested on syntactic benchmarks and perplexity. |