AI Agent

Context Engineering for Multi-Agent LLM Code Assistants Using Elicit, NotebookLM, ChatGPT, and Claude Code

Muhammad Haseeb

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；workflow(abstract)；分类 cs.AI、cs.SE

Comments 15 pages, 5 figures, research paper on multi-agent LLM systems for code generation

MinionsLLM: a Task-adaptive Framework For The Training and Control of Multi-Agent Systems Through Natural Language

Andres Garcia Rincon, Eliseo Ferrante

机构 * Vrije Universiteit Amsterdam, The Netherlands（阿姆斯特丹自由大学，荷兰） ； NYU Abu Dhabi, United Arab Emirates（纽约大学阿布扎克分校，阿联酋） 纠错

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.CL、cs.LG

DevNous: An LLM-Based Multi-Agent System for Grounding IT Project Management in Unstructured Conversation

Stavros Doropoulos, Stavros Vologiannidis, Ioannis Magnisalis

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.CL

RCR-Router: Efficient Role-Aware Context Routing for Multi-Agent LLM Systems with Structured Memory

Jun Liu, Zhenglun Kong, Changdi Yang, Fan Yang, Tianqi Li, Peiyan Dong, Joannah Nanjekye, Hao Tang, Geng Yuan, Wei Niu, Wenbin Zhang, Pu Zhao, Xue Lin, Dong Huang, Yanzhi Wang

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.CL

DynaSwarm: Dynamically Graph Structure Selection for LLM-based Multi-agent System

Hui Yi Leong, Yuqing Wu

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.AI、cs.LG

Comments content error

CRADLE: Conversational RTL Design Space Exploration with LLM-based Multi-Agent Systems

Lukas Krupp, Maximilian Schöffel, Elias Biehl, Norbert Wehn

机构 * RPTU University of Kaiserslautern-Landau（凯撒斯劳滕-兰道大学） 纠错

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)；分类 cs.LG

Comments Accepted for presentation at the 22nd International SoC Conference (ISOCC 2025). Proceedings to be included in IEEE Xplore

Making Teams and Influencing Agents: Efficiently Coordinating Decision Trees for Interpretable Multi-Agent Reinforcement Learning

Rex Chen, Stephanie Milani, Zhicheng Zhang, Norman Sadeh, Fei Fang

专题命中 多智能体 ：agent(title,abstract)；multi-agent(title,abstract)

Comments 17 pages; 2 tables; 12 figures; accepted version, published at the 8th AAAI/ACM Conference on AI, Ethics and Society (AIES '25)

Agentic Graph Neural Networks for Wireless Communications and Networking Towards Edge General Intelligence: A Survey

Yang Lu, Shengli Zhang, Chang Liu, Ruichen Zhang, Bo Ai, Dusit Niyato, Wei Ni, Xianbin Wang, Abbas Jamalipour

专题命中 多智能体 ：agentic(title,abstract)；agent(abstract)

Retrieval-Augmented Generation with Conflicting Evidence

Han Wang, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal

机构 * University of North Carolina at Chapel Hill（北卡罗来纳大学教堂山分校） 纠错

专题命中 多智能体 ：agent(abstract)；multi-agent(abstract)；分类 cs.AI、cs.CL

Comments COLM 2025, Data and Code: https://github.com/HanNight/RAMDocs

UnrealZoo: Enriching Photo-realistic Virtual Worlds for Embodied AI

Fangwei Zhong, Kui Wu, Churan Wang, Hao Chen, Hai Ci, Zhoujun Li, Yizhou Wang

机构 * School of Artificial Intelligence, Beijing Normal University（北京师范大学人工智能学院） ； State Key Laboratory of Complex & Critical Software Environment, Beihang University（北航复杂与关键软件环境国家重点实验室） ； School of Computer Science, Institute for Artificial Intelligence, State Key Laboratory of General Artificial Intelligence, Peking University（北京大学计算机学院） ； City University of Macau（澳门城市大学） ； National University of Singapore（新加坡国立大学） ； Beijing Institute for General Artificial Intelligence (BIGAI)（北京通用人工智能研究院） 纠错

专题命中 多智能体 ：agent(abstract)；multi-agent(abstract)；分类 cs.AI

Comments ICCV 2025 (Highlight), Project page: http://unrealzoo.site/

Traffic Load-Aware Resource Management Strategy for Underwater Wireless Sensor Networks

Tong Zhang, Yu Gou, Jun Liu, Jun-Hong Cui

专题命中 多智能体 ：agent(abstract)；multi-agent(abstract)

Comments Accepted by IEEE Transactions on Mobile Computing

tAIfa: Enhancing Team Effectiveness and Cohesion with AI-Generated Automated Feedback

Mohammed Almutairi, Charles Chiang, Yuxin Bai, Diego Gomez-Zara

专题命中 多智能体 ：agent(abstract)；AI agent(abstract)

Comments 25 pages, CHIWORK '25: Proceedings of the 4th Annual Symposium on Human-Computer Interaction for Work

A Comprehensive Review of Shepherding as a Bio-inspired Swarm-Robotics Guidance Approach

Nathan K Long, Karl Sammut, Daniel Sgarioto, Matthew Garratt, Hussein Abbass

专题命中 多智能体 ：planning(abstract)；分类 cs.AI

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