cs.LG(2024-05-01)

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支柱二:RL算法与架构 (RL & Architecture) (3 🔗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 Navigating WebAI: Training Agents to Complete Web Tasks with Large Language Models and Reinforcement Learning 结合监督学习与强化学习,提升WebAI在MiniWoB上的网页导航能力 reinforcement learning large language model multimodal
2 Self-Play Preference Optimization for Language Model Alignment 提出基于自博弈偏好优化的语言模型对齐方法SPPO,提升模型性能。 reinforcement learning RLHF DPO
3 MetaRM: Shifted Distributions Alignment via Meta-Learning MetaRM:通过元学习对齐奖励模型与漂移分布,提升RLHF性能 reinforcement learning RLHF

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

#题目一句话要点标签🔗
4 RAG-based Explainable Prediction of Road Users Behaviors for Automated Driving using Knowledge Graphs and Large Language Models 提出基于RAG的知识图谱与大语言模型融合方法,用于自动驾驶中道路使用者行为的可解释预测。 large language model

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