cs.LG(2024-02-10)

📊 共 10 篇论文 | 🔗 2 篇有代码

🎯 兴趣领域导航

支柱九:具身大模型 (Embodied Foundation Models) (6 🔗2) 支柱二:RL算法与架构 (RL & Architecture) (4)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (6 篇)

#题目一句话要点标签🔗
1 OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning 提出OpenFedLLM以解决去中心化私有数据训练问题 large language model instruction following
2 Generating Chain-of-Thoughts with a Pairwise-Comparison Approach to Searching for the Most Promising Intermediate Thought 提出基于成对比较的方法以优化链式思维生成 large language model chain-of-thought
3 $L^*LM$: Learning Automata from Examples using Natural Language Oracles 提出$L^*LM$算法以提高DFAs学习的样本效率 large language model
4 A Tale of Tails: Model Collapse as a Change of Scaling Laws 提出模型崩溃理论框架以应对合成数据的影响 large language model
5 Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts Models 提出Fiddler以解决Mixture-of-Experts模型的资源限制问题 large language model
6 Whispers in the Machine: Confidentiality in Agentic Systems 提出LLM代理系统的机密性评估方法以应对安全威胁 large language model

🔬 支柱二:RL算法与架构 (RL & Architecture) (4 篇)

#题目一句话要点标签🔗
7 Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF 提出基于惩罚的方法解决双层强化学习及人类反馈问题 reinforcement learning inverse reinforcement learning RLHF
8 Solving Deep Reinforcement Learning Tasks with Evolution Strategies and Linear Policy Networks 通过进化策略和线性策略网络解决深度强化学习任务 reinforcement learning deep reinforcement learning
9 In-Context Data Distillation with TabPFN 提出上下文数据蒸馏方法以解决TabPFN的数据规模限制问题 distillation foundation model
10 Informativeness of Reward Functions in Reinforcement Learning 提出奖励信息量标准以加速强化学习收敛 reinforcement learning reward design

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