AI Agent

Materealize: a multi-agent deliberation system for end-to-end material design and synthesis

Materealize: 一种用于端到端材料设计与合成的多智能体协商系统

Seongmin Kim, Jaehwan Choi, Kunik Jang, Junkil Park, Varinia Bernales, Alán Aspuru-Guzik, Yousung Jung

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

AI总结 Materealize通过多智能体协商系统实现端到端无机材料设计与合成，结合工具精度与推理整合，提升计算发现与实验实现的衔接。

Comments 30 pages main text, 8 main figures

MALTopic: Multi-Agent LLM Topic Modeling Framework

MALTopic: 多智能体大语言模型主题建模框架

Yash Sharma

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

AI总结 MALTopic通过多智能体框架整合结构化数据，提升调查数据的主题连贯性、多样性和可解释性。

Comments 6 pages. Published in 2025 IEEE World AI-IoT Congress. \c{opyright} 2025 IEEE. Project code and data available at: https://github.com/yash91sharma/MALTopic

Journal ref 2025 IEEE AI-IoT

Collaborate, Deliberate, Evaluate: How LLM Alignment Affects Coordinated Multi-Agent Outcomes

协作、审议、评估：LLM对齐如何影响协调的多智能体结果

Abhijnan Nath, Carine Graff, Nikhil Krishnaswamy

机构 * Natural Language (SIGNAL) Lab Colorado State University Fort Collins, CO USA ； Natural Language (SIGNAL) Lab Colorado State University 纠错

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

AI总结 本文研究了LLM对齐方法如何影响多智能体协作效果，通过干预代理促进审议式决策，发现鲁棒性方法在支持正确任务结果方面表现更优。

Comments This submission is a new version of arXiv:2509.05882v1. with a substantially revised experimental pipeline and new metrics. In particular, collaborator agents are now instantiated independently via separate API calls, rather than generated autoregressively by a single agent. All experimental results are new. Accepted as an extended abstract at AAMAS 2026

Exploring Implicit Perspectives on Autism in Large Language Models Through Multi-Agent Simulations

通过多智能体模拟探索大型语言模型中对自闭症的隐含视角

Sohyeon Park, Jesus Armando Beltran, Aehong Min, Anamara Ritt-Olson, Gillian R. Hayes

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

AI总结 通过多智能体模拟研究大型语言模型对自闭症的隐含视角，揭示其偏见并提出双重共情问题以改进与自闭症人群的互动。

Two-Timescale Optimization Framework for IAB-Enabled Heterogeneous UAV Networks

IAB支持的异构无人机网络的双时间尺度优化框架

Jikang Deng, Hui Zhou, Mohamed-Slim Alouini

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

AI总结 本文提出了一种IAB支持的异构无人机网络双时间尺度优化框架，通过整合有缆和无缆UAV，提升G-UEs的吞吐量和连接性，采用TTS-MADDPG算法实现高效调度和轨迹控制，实验表明其在吞吐量上优于现有方法。

Distributed Coordination for Heterogeneous Non-Terrestrial Networks

异构非地网络的分布式协调

Jikang Deng, Hui Zhou, Mohamed-Slim Alouini

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

AI总结 本文研究了异构非地网络中分布式协调问题，分析了各层通信挑战，并提出基于多智能体深度强化学习的解决方案，通过案例研究验证了其有效性。