cs.LG(2025-06-17)

📊 共 5 篇论文 | 🔗 2 篇有代码

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支柱二:RL算法与架构 (RL & Architecture) (3 🔗2) 支柱一:机器人控制 (Robot Control) (1) 支柱九:具身大模型 (Embodied Foundation Models) (1)

🔬 支柱二:RL算法与架构 (RL & Architecture) (3 篇)

#题目一句话要点标签🔗
1 TGDPO: Harnessing Token-Level Reward Guidance for Enhancing Direct Preference Optimization 提出TGDPO以解决直接偏好优化中的奖励指导问题 reinforcement learning PPO DPO
2 ROSE: Toward Reality-Oriented Safety Evaluation of Large Language Models 提出ROSE框架以解决大语言模型安全评估问题 reinforcement learning large language model
3 Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective 提出Guru以解决大语言模型推理中的奖励信号不足问题 reinforcement learning reward design large language model

🔬 支柱一:机器人控制 (Robot Control) (1 篇)

#题目一句话要点标签🔗
4 Adaptive Reinforcement Learning for Unobservable Random Delays 提出交互层以解决不可观测随机延迟问题 locomotion reinforcement learning

🔬 支柱九:具身大模型 (Embodied Foundation Models) (1 篇)

#题目一句话要点标签🔗
5 Optimal Embedding Learning Rate in LLMs: The Effect of Vocabulary Size 提出优化嵌入学习率以应对大语言模型词汇规模问题 large language model

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