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Thinking at the Right Size: Amortized Distillation Across Post-Trained LLMs
不同尺寸模型间摊销蒸馏，让推理成本与思考深度灵活匹配，EMNLP 2026 前沿成果
arXiv:2608.22854v1 Announce Type: new Abstract: Practical deployment of large language models (LLMs) requires families of post-trained variants---inst…