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Scaling Laws for Task-Specific LLM Distillation
研究大模型在特定任务蒸馏中缩放定律，揭示蒸馏效率与模型规模、数据量的关系
arXiv:2606.24747v1 Announce Type: new Abstract: Large Language Models (LLMs) achieve strong performance across a growing range of domains, yet their s…
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Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit
最新研究证实：针对特定任务微调的Transformer在虚假信息分类上全面碾压零样本LLM，颠覆“大模型万能”认知。
arXiv:2606.04274v1 Announce Type: new Abstract: As large language models (LLMs) become default tools for online information verification, an implicit …