cs.AI（2024-10-12）
📊 共 8 篇论文 | 🔗 2 篇有代码
🎯 兴趣领域导航
🔬 支柱九：具身大模型 (Embodied Foundation Models) (4 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 1 | MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection | 提出MMAD基准以解决工业异常检测中的多模态语言模型挑战 | large language model multimodal | ||
| 2 | EmbodiedCity: A Benchmark Platform for Embodied Agent in Real-world City Environment | EmbodiedCity：构建真实城市环境的具身智能基准平台，促进开放世界场景探索 | embodied AI large language model | ||
| 3 | Many Heads Are Better Than One: Improved Scientific Idea Generation by A LLM-Based Multi-Agent System | 提出基于LLM的多智能体系统VirSci，提升科学idea生成的新颖性。 | large language model | ✅ | |
| 4 | Survival of the Safest: Towards Secure Prompt Optimization through Interleaved Multi-Objective Evolution | 提出SoS框架，通过交错多目标进化实现LLM提示词的安全与性能双重优化 | large language model |
🔬 支柱二：RL算法与架构 (RL & Architecture) (4 篇)
| # | 题目 | 一句话要点 | 标签 | 🔗 | ⭐ |
|---|---|---|---|---|---|
| 5 | Declarative Knowledge Distillation from Large Language Models for Visual Question Answering Datasets | 提出一种基于大语言模型知识蒸馏的声明式视觉问答方法 | distillation large language model multimodal | ||
| 6 | OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models | OpenR：一个用于大型语言模型高级推理的开源框架 | reinforcement learning large language model | ||
| 7 | Towards a Domain-Specific Modelling Environment for Reinforcement Learning | 提出领域专用建模环境RLML，简化强化学习应用并降低学习曲线。 | reinforcement learning | ||
| 8 | Contrastive Learning for Implicit Social Factors in Social Media Popularity Prediction | 提出基于对比学习的隐式社交因素建模方法，提升社交媒体流行度预测精度。 | contrastive learning | ✅ |