Importance-Aware Data Selection for Efficient LLM Instruction Tuning Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective FROM CORRECTION TO MASTERY: REINFORCED DISTILLATION OF LARGE LANGUAGE MODEL AGENTS Merge-of-Thought Distillation Delta Knowledge Distillation for Large Language Models Massive Activations in Large Language Models TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation Dataset Condensation for Recommendation BOND: Aligning LLMs with Best-of-N distillation More...

Different Designs For LLM KD Loss Training-Inference Mismatch In LLM KD(II) SVD Decompositon in LLM Compression Training-Inference Mismatch In LLM KD Different Designs For LLM KD Loss

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Bug聚集地