cs.LG（2024-05-26）

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支柱二：RL算法与架构 (RL & Architecture) (4) 支柱九：具身大模型 (Embodied Foundation Models) (1 🔗1)

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

#题目一句话要点标签🔗⭐
1 Predicting Rental Price of Lane Houses in Shanghai with Machine Learning Methods and Large Language Models 利用机器学习与大语言模型预测上海里弄房屋租金 MAE large language model
2 Amortized Active Causal Induction with Deep Reinforcement Learning 提出CAASL，利用深度强化学习进行主动因果结构学习，无需似然函数。 reinforcement learning deep reinforcement learning
3 Zamba: A Compact 7B SSM Hybrid Model Zamba：一种紧凑的7B SSM混合模型，在同等规模下性能媲美领先的开源模型。 Mamba SSM
4 Probabilistic Contrastive Learning with Explicit Concentration on the Hypersphere 提出基于超球面概率对比学习，显式量化不确定性并提升鲁棒性 contrastive learning

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

#题目一句话要点标签🔗⭐
5 SpinQuant: LLM quantization with learned rotations SpinQuant：通过学习旋转矩阵实现LLM量化，显著提升零样本推理精度 large language model ✅

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