Tag: Supervised Learning
All the articles with the tag "Supervised Learning".
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Behavior Injection: Preparing Language Models for Reinforcement Learning
Published: at 11:45 AM
86.57 🤔本文提出BRIDGE方法，通过在SFT阶段注入探索和利用行为增强大型语言模型的RL准备度，并在数学与逻辑推理任务上显著提升RFT性能。
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Skip-Thinking: Chunk-wise Chain-of-Thought Distillation Enable Smaller Language Models to Reason Better and Faster
Published: at 11:53 AM 86.49 🤔本文提出分块训练（CWT）和跳跃思维训练（STT），通过将推理过程分块并跳过非核心块，显著提升小型语言模型在链式思维蒸馏中的推理准确性和速度。
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Leveraging Importance Sampling to Detach Alignment Modules from Large Language Models
Published: at 11:45 AM 85.12 🤔本文提出残差对齐模型（RAM），通过重要性采样分离对齐模块，实现高效的序列级训练和令牌级解码，在多个对齐任务中显著提升性能并降低资源成本。
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Towards Revealing the Effectiveness of Small-Scale Fine-tuning in R1-style Reinforcement Learning
Published: at 11:25 AM 92.52 🤔本文通过理论分析和Re-distillation技术，揭示了小规模SFT在R1风格RL中的效率瓶颈，并以极少样本（<1K）在K&K和MATH数据集上接近RL性能，显著提升了数据效率。
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Longer Context, Deeper Thinking: Uncovering the Role of Long-Context Ability in Reasoning
Published: at 11:16 AM 87.82 🤔本文通过实验验证了长上下文能力与推理性能的正相关，提出在监督微调前增强长上下文能力的训练策略，并在数学推理基准上显著提升了模型性能。