cs.LG（2024-03-30）

📊 共 7 篇论文 | 🔗 1 篇有代码

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#	题目	一句话要点	标签
1	Survey on Large Language Model-Enhanced Reinforcement Learning: Concept, Taxonomy, and Methods	提出大语言模型增强强化学习的分类框架以解决现有方法的局限性	reinforcement learning reward design large language model
2	Heterogeneous Contrastive Learning for Foundation Models and Beyond	提出异构对比学习以提升基础模型的泛化能力	contrastive learning foundation model
3	Zero-shot Safety Prediction for Autonomous Robots with Foundation World Models	提出基础世界模型以解决自主机器人安全预测问题	world model world models large language model
4	Orchestrate Latent Expertise: Advancing Online Continual Learning with Multi-Level Supervision and Reverse Self-Distillation	提出MOSE以解决在线持续学习中的过拟合与欠拟合问题	distillation
5	Partially-Observable Sequential Change-Point Detection for Autocorrelated Data via Upper Confidence Region	提出AUCRSS以解决多变量自相关数据的部分可观测序列变更点检测问题	SSM state space model

#	题目	一句话要点	标签	🔗	⭐
6	ProLLM: Protein Chain-of-Thoughts Enhanced LLM for Protein-Protein Interaction Prediction	提出ProLLM以解决蛋白质-蛋白质相互作用预测问题	large language model chain-of-thought	✅
7	Generative AI Models for Different Steps in Architectural Design: A Literature Review	综述生成式AI模型在建筑设计各步骤中的应用与发展	foundation model