Tag: Supervised Learning
All the articles with the tag "Supervised Learning".
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Scaling Reasoning, Losing Control: Evaluating Instruction Following in Large Reasoning Models
Published: at 11:08 AM
88.00 🤔本文通过MathIF基准测试评估大型推理模型在数学任务中的指令遵循能力，揭示了推理能力提升与指令遵循能力下降之间的权衡关系，并通过实验验证了训练策略和推理链长度对这一权衡的影响。
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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。
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Step-wise Adaptive Integration of Supervised Fine-tuning and Reinforcement Learning for Task-Specific LLMs
Published: at 11:14 AM 87.75 🤔本文提出了一种动态自适应的混合训练框架 SASR，通过基于梯度范数和 KL 散度的动态调整机制结合 SFT 和 RL，在数学推理和逻辑推理任务上显著提升了大语言模型的性能，优于传统 SFT、RL 和静态混合方法。
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Sparse-Group Boosting with Balanced Selection Frequencies: A Simulation-Based Approach and R Implementation
Published: at 10:25 AM 87.75 🤔This paper introduces sparse-group boosting and a simulation-based group balancing algorithm within the 'sgboost' R package to mitigate variable selection bias in high-dimensional grouped data, demonstrating improved fairness and interpretability through simulations and ecological data analysis.
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Do Theory of Mind Benchmarks Need Explicit Human-like Reasoning in Language Models?
Published: at 11:11 AM 87.75 🤔本文通过RL和SFT训练不同规模LLMs，发现RL在较大模型中促进显式ToM推理但在小模型中导致推理崩溃，而SFT意外取得高性能，揭示当前ToM基准测试可能无需显式人类式推理即可解决。