cs.AI（2024-09-02）
📊 共 4 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) (3 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | Conversational Complexity for Assessing Risk in Large Language Models | 提出基于对话复杂度的LLM风险评估方法，量化诱导有害信息所需的对话努力。 | large language model | ||
| 2 | Declarative Integration and Management of Large Language Models through Finite Automata: Application to Automation, Communication, and Ethics | 提出基于有限自动机的声明式架构，用于大规模语言模型的集成与管理 | large language model | ||
| 3 | Pairing Analogy-Augmented Generation with Procedural Memory for Procedural Q&A | 提出类比增强生成与程序记忆，解决复杂程序问答中信息整合难题 | large language model |
🔬 支柱二：RL算法与架构 (RL & Architecture) (1 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 4 | Co-Learning: Code Learning for Multi-Agent Reinforcement Collaborative Framework with Conversational Natural Language Interfaces | 提出Co-Learning框架，利用多智能体强化学习提升代码错误自动纠正的效率和准确率。 | reinforcement learning large language model | ✅ |