各类基于决策单调性的dp优化
Training-Inference Mismatch In LLM KD
群作用
Burnside 引理
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective
Training-Inference Mismatch In LLM KD(2)
FROM CORRECTION TO MASTERY: REINFORCED DISTILLATION OF LARGE LANGUAGE MODEL AGENTS
Merge-of-Thought Distillation
Delta Knowledge Distillation for Large Language Models