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ENTITY Multi-teacher Adaptive On-policy Self-Distillation

Multi-teacher Adaptive On-policy Self-Distillation

PulseAugur coverage of Multi-teacher Adaptive On-policy Self-Distillation — every cluster mentioning Multi-teacher Adaptive On-policy Self-Distillation across labs, papers, and developer communities, ranked by signal.

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  1. RESEARCH · CL_332876 ·

    New distillation methods enhance LLM reasoning by adapting teachers and tokens

    Researchers are developing advanced on-policy distillation techniques to improve the performance of large language models. One approach, Student-Prefix Teacher Adaptation (SPTA), modifies the teacher model to better han…