cs.AI（2023-10-06）
📊 共 8 篇论文
🎯 兴趣领域导航
🔬 支柱九：具身大模型 (Embodied Foundation Models) (6 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | A Comprehensive Performance Study of Large Language Models on Novel AI Accelerators | 系统研究大型语言模型在新型AI加速器上的性能 | large language model | ||
| 2 | Thought Propagation: An Analogical Approach to Complex Reasoning with Large Language Models | 提出思想传播方法以增强大语言模型的复杂推理能力 | large language model | ||
| 3 | Coding by Design: GPT-4 empowers Agile Model Driven Development | 提出敏捷模型驱动开发方法以提升代码自动生成能力 | large language model | ||
| 4 | Keyword Augmented Retrieval: Novel framework for Information Retrieval integrated with speech interface | 提出关键词增强检索框架以解决信息检索中的成本与效率问题 | large language model | ||
| 5 | Reverse Chain: A Generic-Rule for LLMs to Master Multi-API Planning | 提出Reverse Chain以解决多API调用的挑战 | large language model | ||
| 6 | From Text to Self: Users' Perceptions of Potential of AI on Interpersonal Communication and Self | 探讨AI在跨人际沟通中的潜力与用户感知 | large language model |
🔬 支柱二：RL算法与架构 (RL & Architecture) (2 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 7 | From task structures to world models: What do LLMs know? | 提出将大型语言模型的知识与世界模型关联以解决知识理解问题 | world model world models large language model | ||
| 8 | Deconstructing Cooperation and Ostracism via Multi-Agent Reinforcement Learning | 通过多智能体强化学习揭示合作与排斥的动态关系 | reinforcement learning |