cs.AI(2024-08-29)

📊 共 9 篇论文

🎯 兴趣领域导航

支柱九:具身大模型 (Embodied Foundation Models) (6) 支柱二:RL算法与架构 (RL & Architecture) (3)

🔬 支柱九:具身大模型 (Embodied Foundation Models) (6 篇)

#题目一句话要点标签🔗
1 AI Meets the Classroom: When Do Large Language Models Harm Learning? 研究揭示LLM在教育中的双刃剑效应:过度替代学习活动或损害理解 large language model
2 Examination of Code generated by Large Language Models 评估大型语言模型生成的代码质量与正确性,揭示不同模型、语言和时间的影响。 large language model
3 Acceptable Use Policies for Foundation Models 分析大型模型可接受使用政策,揭示其对AI生态的影响与挑战 foundation model
4 HyPA-RAG: A Hybrid Parameter Adaptive Retrieval-Augmented Generation System for AI Legal and Policy Applications HyPA-RAG:面向AI法律与政策应用的混合参数自适应检索增强生成系统 large language model
5 Emerging Vulnerabilities in Frontier Models: Multi-Turn Jailbreak Attacks 揭示前沿模型多轮越狱攻击漏洞,提出新型数据集用于评估防御能力 large language model
6 United in Diversity? Contextual Biases in LLM-Based Predictions of the 2024 European Parliament Elections 评估LLM预测欧洲议会选举的背景偏差,揭示其在公共舆论预测中的局限性 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🔗
7 MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale MAPF-GPT:基于模仿学习的大规模多智能体路径规划 reinforcement learning deep reinforcement learning imitation learning
8 RLCP: A Reinforcement Learning-based Copyright Protection Method for Text-to-Image Diffusion Model 提出RLCP:一种基于强化学习的文本到图像扩散模型版权保护方法 reinforcement learning diffusion policy
9 DetectBERT: Towards Full App-Level Representation Learning to Detect Android Malware DetectBERT:融合c-MIL与DexBERT的安卓恶意软件应用级检测方法 representation learning

⬅️ 返回 cs.AI 首页 · 🏠 返回主页