cs.AI（2024-04-19）
📊 共 12 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) (6 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | MM-PhyRLHF: Reinforcement Learning Framework for Multimodal Physics Question-Answering | 提出MM-PhyRLHF框架以解决多模态物理问答问题 | reinforcement learning RLHF multimodal | ||
| 2 | Mapping Social Choice Theory to RLHF | 将社会选择理论映射到人类反馈强化学习中 | reinforcement learning RLHF | ||
| 3 | FineRec:Exploring Fine-grained Sequential Recommendation | 提出FineRec以解决细粒度序列推荐问题 | representation learning large language model | ||
| 4 | FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Resource Allocation | 提出FlagVNE框架以解决网络资源分配中的灵活性与泛化问题 | reinforcement learning | ✅ | |
| 5 | GluMarker: A Novel Predictive Modeling of Glycemic Control Through Digital Biomarkers | 提出GluMarker以解决糖尿病管理中整体血糖控制预测问题 | predictive model | ||
| 6 | Reinforcement Learning Approach for Integrating Compressed Contexts into Knowledge Graphs | 提出基于强化学习的方法以优化知识图谱中的上下文集成 | reinforcement learning |
🔬 支柱九：具身大模型 (Embodied Foundation Models) (6 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 7 | Large Language Models for Next Point-of-Interest Recommendation | 提出基于大语言模型的框架以解决POI推荐中的上下文信息利用问题 | large language model | ||
| 8 | When Life gives you LLMs, make LLM-ADE: Large Language Models with Adaptive Data Engineering | 提出LLM-ADE框架以解决大语言模型的灾难性遗忘问题 | large language model | ||
| 9 | Large Language Models for Networking: Workflow, Advances and Challenges | 利用大型语言模型解决网络领域复杂任务的挑战 | large language model | ||
| 10 | Food Development through Co-creation with AI: bread with a "taste of love" | 通过AI共创食品开发，打造具有情感共鸣的面包 | multimodal | ||
| 11 | Data Authenticity, Consent, & Provenance for AI are all broken: what will it take to fix them? | 提出数据透明性标准以解决AI模型的真实性与同意问题 | foundation model | ||
| 12 | Can LLMs Understand Computer Networks? Towards a Virtual System Administrator | 提出LLMs理解计算机网络的框架以辅助系统管理员 | large language model |