cs.AI（2024-01-11）
📊 共 6 篇论文 | 🔗 1 篇有代码
🎯 兴趣领域导航
🔬 支柱二：RL算法与架构 (RL & Architecture) (3 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | Secrets of RLHF in Large Language Models Part II: Reward Modeling | 提出新方法以解决奖励模型中的偏好数据问题 | reinforcement learning RLHF contrastive learning | ||
| 2 | Cheetah: Bridging the Gap Between Machine Learning and Particle Accelerator Physics with High-Speed, Differentiable Simulations | 提出Cheetah以解决粒子加速器物理中的数据生成问题 | reinforcement learning differentiable simulation | ||
| 3 | End-to-end Learnable Clustering for Intent Learning in Recommendation | 提出ELCRec以解决意图学习中的优化复杂性问题 | representation learning contrastive learning | ✅ |
🔬 支柱九：具身大模型 (Embodied Foundation Models) (3 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 4 | EEGFormer: Towards Transferable and Interpretable Large-Scale EEG Foundation Model | 提出EEGFormer以解决EEG数据建模的可迁移性与可解释性问题 | foundation model | ||
| 5 | Chain of History: Learning and Forecasting with LLMs for Temporal Knowledge Graph Completion | 提出一种基于大语言模型的时间知识图谱补全方法 | large language model TAMP | ||
| 6 | Mutation-based Consistency Testing for Evaluating the Code Understanding Capability of LLMs | 提出基于变异的一致性测试以评估LLMs的代码理解能力 | large language model |