cs.LG(2025-03-11)

📊 共 6 篇论文 | 🔗 1 篇有代码

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支柱九:具身大模型 (Embodied Foundation Models) (3 🔗1) 支柱二:RL算法与架构 (RL & Architecture) (3)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (3 篇)

#题目一句话要点标签🔗
1 Robust Multi-Objective Controlled Decoding of Large Language Models 提出鲁棒多目标控制解码以解决大语言模型对人类偏好的对齐问题 large language model instruction following
2 Interpreting the Repeated Token Phenomenon in Large Language Models 揭示大语言模型重复Token现象:通过干预Attention Sinks提升模型可靠性 large language model
3 Adapting Large Language Models for Parameter-Efficient Log Anomaly Detection 利用参数高效微调方法,将大型语言模型应用于日志异常检测 large language model

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

#题目一句话要点标签🔗
4 Meta-Reinforcement Learning with Discrete World Models for Adaptive Load Balancing 提出基于离散世界模型的元强化学习方法,自适应优化操作系统负载均衡。 reinforcement learning world model dreamer
5 V-Max: A Reinforcement Learning Framework for Autonomous Driving V-Max:用于自动驾驶的强化学习开源框架,加速策略研究 reinforcement learning imitation learning
6 Zero-Shot Action Generalization with Limited Observations 提出AGLO框架,利用有限观测实现零样本动作泛化 reinforcement learning policy learning representation learning

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