cs.LG(2024-03-24)

📊 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 🔗1) 支柱九:具身大模型 (Embodied Foundation Models) (2 🔗1)

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

#题目一句话要点标签🔗
1 Interpretable Modeling of Deep Reinforcement Learning Driven Scheduling 提出可解释的深度强化学习调度模型以解决可解释性问题 reinforcement learning deep reinforcement learning DRL
2 The N+ Implementation Details of RLHF with PPO: A Case Study on TL;DR Summarization 提出RLHF的实现细节以提升TL;DR摘要质量 reinforcement learning PPO RLHF
3 EG-ConMix: An Intrusion Detection Method based on Graph Contrastive Learning 提出EG-ConMix以解决物联网入侵检测数据不平衡问题 contrastive learning

🔬 支柱九:具身大模型 (Embodied Foundation Models) (2 篇)

#题目一句话要点标签🔗
4 A Survey on Self-Supervised Graph Foundation Models: Knowledge-Based Perspective 提出知识驱动的自监督图基础模型分类方法以解决现有研究不足 foundation model
5 Is The Watermarking Of LLM-Generated Code Robust? 研究现有水印技术在LLM生成代码中的脆弱性 large language model

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