cs.LG（2025-03-29）

📊 共 8 篇论文 | 🔗 1 篇有代码

🎯 兴趣领域导航

支柱九：具身大模型 (Embodied Foundation Models) (5 🔗1) 支柱二：RL算法与架构 (RL & Architecture) (3)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (5 篇)

#题目一句话要点标签🔗⭐
1 Evaluating Large Language Models for Fair and Reliable Organ Allocation 评估大型语言模型在公平可靠的器官分配中的应用，揭示潜在偏见。 large language model
2 Citegeist: Automated Generation of Related Work Analysis on the arXiv Corpus Citegeist：提出一种基于动态RAG的arXiv论文相关工作自动生成方法 large language model
3 The geomagnetic storm and Kp prediction using Wasserstein transformer 提出基于Wasserstein Transformer的多模态融合框架，用于地磁暴和Kp指数预测 multimodal
4 MoLAE: Mixture of Latent Experts for Parameter-Efficient Language Models 提出MoLAE：一种用于参数高效语言模型的混合潜在专家方法 large language model
5 RaanA: A Fast, Flexible, and Data-Efficient Post-Training Quantization Algorithm RaanA：一种快速、灵活且数据高效的后训练量化算法 large language model ✅

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

#题目一句话要点标签🔗⭐
6 Reasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards for Reasoning-Enhanced Text-to-SQL 提出 Reasoning-SQL，利用定制化SQL部分奖励强化学习提升Text-to-SQL性能。 reinforcement learning large language model
7 RL2Grid: Benchmarking Reinforcement Learning in Power Grid Operations RL2Grid：电力系统强化学习基准测试平台，加速电网控制算法研究 reinforcement learning
8 Fair Sufficient Representation Learning 提出公平充分表示学习(FSRL)方法，平衡充分性和公平性，解决机器学习中的偏见问题。 representation learning

⬅️ 返回 cs.LG 首页 · 🏠 返回主页