Papers by Gaeun Yim
Beyond One-Step Distillation: Bridging the Capacity Gap in Small Language Models via Multi-Step Knowledge Transfer (2026.eacl-srw)
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| Challenge: | Large Language Models (LLMs) excel across diverse tasks but remain too large for efficient on-device deployment. |
| Approach: | They revisit multi-step knowledge distillation as an effective remedy . they demonstrate that MSKD improves ROUGE-L and perplexity over single-step approaches . |
| Outcome: | The proposed approach improves ROUGE-L and perplexity over single-step approaches . large language models are too large for efficient on-device deployment, the authors show . |