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20222026
most citedIs Semantic Chunking Worth the Computational Cost?

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cs.LG2026

DisaggKD: Efficient Knowledge Distillation through Teacher-Student Disaggregation and a Fused Loss

Ruixuan Tu, Yuyang Dong

Knowledge distillation (KD) frameworks place teacher and student on the same GPUs, so per-GPU memory limits the teachers that fit. DisaggKD separates them across nodes: teacher rep…