cs.AI（2024-08-12）

📊 共 10 篇论文 | 🔗 2 篇有代码

🎯 兴趣领域导航

#	题目	一句话要点	标签	🔗
1	Multimodal Large Language Models for Phishing Webpage Detection and Identification	提出基于多模态大语言模型的钓鱼网页检测与识别方法	large language model multimodal
2	Design Proteins Using Large Language Models: Enhancements and Comparative Analyses	利用大型语言模型设计蛋白质：增强与对比分析	large language model
3	BI-MDRG: Bridging Image History in Multimodal Dialogue Response Generation	提出BI-MDRG，通过桥接图像历史信息提升多模态对话生成质量。	multimodal
4	Audit-LLM: Multi-Agent Collaboration for Log-based Insider Threat Detection	提出Audit-LLM，利用多智能体协作解决基于日志的内部威胁检测问题。	large language model chain-of-thought
5	Can We Rely on LLM Agents to Draft Long-Horizon Plans? Let's Take TravelPlanner as an Example	针对长程规划任务，评估LLM Agent在TravelPlanner基准上的可靠性，并提出反馈感知微调方法。	large language model
6	The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery	提出AI科学家框架，实现机器学习领域全自动、开放式的科学发现	large language model	✅
7	Unleashing The Power of Pre-Trained Language Models for Irregularly Sampled Time Series	提出ISTS-PLM框架，利用预训练语言模型解决不规则采样时间序列分析难题	foundation model

#	题目	一句话要点	标签	🔗
8	VisualAgentBench: Towards Large Multimodal Models as Visual Foundation Agents	提出VisualAgentBench以评估多模态模型作为视觉基础代理的能力	behavior cloning multimodal	✅
9	Online Optimization of Curriculum Learning Schedules using Evolutionary Optimization	提出RHEA CL，结合课程学习与滚动时域进化算法，自动优化强化学习训练课程。	reinforcement learning curriculum learning
10	Urban Region Pre-training and Prompting: A Graph-based Approach	提出图基城市区域预训练与提示框架以解决城市区域知识迁移问题	representation learning contrastive learning