cs.LG(2025-12-17)

📊 共 3 篇论文 | 🔗 1 篇有代码

🎯 兴趣领域导航

支柱二:RL算法与架构 (RL & Architecture) (2 🔗1) 支柱九:具身大模型 (Embodied Foundation Models) (1)

🔬 支柱二:RL算法与架构 (RL & Architecture) (2 篇)

#题目一句话要点标签🔗
1 Dynamic Rank Reinforcement Learning for Adaptive Low-Rank Multi-Head Self Attention in Large Language Models 提出DR-RL,通过强化学习自适应优化LLM中低秩多头自注意力机制。 reinforcement learning large language model
2 DSO: Direct Steering Optimization for Bias Mitigation 提出直接操控优化(DSO)算法,用于缓解视觉-语言模型和大型语言模型中的偏见。 reinforcement learning large language model

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

#题目一句话要点标签🔗
3 DreamPRM-Code: Function-as-Step Process Reward Model with Label Correction for LLM Coding DreamPRM-Code:利用函数作为步骤的过程奖励模型,通过标签校正提升LLM代码生成能力 large language model

⬅️ 返回 cs.LG 首页 · 🏠 返回主页