AI Agent

Multi-Agent GraphRAG: A Text-to-Cypher Framework for Labeled Property Graphs

Anton Gusarov, Anastasia Volkova, Valentin Khrulkov, Andrey Kuznetsov, Evgenii Maslov, Ivan Oseledets

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

Comments Code to be released

VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use

Zhehao Zhang, Ryan Rossi, Tong Yu, Franck Dernoncourt, Ruiyi Zhang, Jiuxiang Gu, Sungchul Kim, Xiang Chen, Zichao Wang, Nedim Lipka

机构 * Adobe 纠错

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

Comments AAAI 2026

Socialized Learning and Emergent Behaviors in Multi-Agent Systems based on Multimodal Large Language Models

Sureyya Akin, Shruti T. Tiwari, Ram Bhattacharya, Sagar A. Raman, Kiran Mohanty, Sita Krishnan

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

Comments We have identified critical issues in the code implementation that severely deviate from Algorithm 1, invalidating all experimental results and conclusions. Despite exhaustive efforts to correct these issues, we find they fundamentally undermine the paper's core claims. To uphold academic integrity and prevent misinformation, we are withdrawing this manuscript

Adaptive Multi-Agent Response Refinement in Conversational Systems

Soyeong Jeong, Aparna Elangovan, Emine Yilmaz, Oleg Rokhlenko

机构 * KAIST（韩国科学技术院） ； Amazon（亚马逊） ； Collate ； University College London（伦敦大学学院） 纠错

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

Comments LaCATODA Workshop @ AAAI 2026

ARAC: Adaptive Regularized Multi-Agent Soft Actor-Critic in Graph-Structured Adversarial Games

Ruochuan Shi, Runyu Lu, Yuanheng Zhu, Dongbin Zhao

机构 * Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所） ； School of Artificial Intelligence, University of Chinese Academy of Sciences（中国科学院大学人工智能学院） 纠错

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

A Negotiation-Based Multi-Agent Reinforcement Learning Approach for Dynamic Scheduling of Reconfigurable Manufacturing Systems

Manonmani Sekar, Nasim Nezamoddini

机构 * Industrial and Systems Engineering Department, Oakland University（奥克兰大学工业与系统工程系） 纠错

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

Optimism as Risk-Seeking in Multi-Agent Reinforcement Learning

Runyu Zhang, Na Li, Asuman Ozdaglar, Jeff Shamma, Gioele Zardini

机构 * Laboratory for Information & Decision Systems, Massachusetts Institute of Technology（信息与决策系统实验室，麻省理工学院） ； Harvard University（哈佛大学） ； University of Illinois at Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） 纠错

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

ProST: Progressive Sub-task Training for Pareto-Optimal Multi-agent Systems Using Small Language Models

Biddut Sarker Bijoy, Mohammad Saqib Hasan, Pegah Alipoormolabashi, Avirup Sil, Aruna Balasubramanian, Niranjan Balasubramanian

机构 * Stony Brook University（石溪大学） ； Oracle Applied Science（Oracle应用科学） 纠错

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

MA-GTS: A Multi-Agent Framework for Solving Complex Graph Problems in Real-World Applications

Zike Yuan, Ming Liu, Hui Wang, Bing Qin

机构 * Harbin Institute of Technology（哈尔滨工业大学） ； Peng Cheng Laboratory（鹏城实验室） 纠错

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

Can LLM Agents Really Debate? A Controlled Study of Multi-Agent Debate in Logical Reasoning

Haolun Wu, Zhenkun Li, Lingyao Li

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

Comments 20 pages, 6 figures

A Historical Interaction-Enhanced Shapley Policy Gradient Algorithm for Multi-Agent Credit Assignment

Ao Ding, Licheng Sun, Yongjie Hou, Huaqing Zhang, Hongbin Ma

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

From Pixels to Cooperation Multi Agent Reinforcement Learning based on Multimodal World Models

Sureyya Akin, Kavita Srivastava, Prateek B. Kapoor, Pradeep G. Sethi, Sunita Q. Patel, Rahu Srivastava

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

Comments We have identified critical issues in the code implementation that severely deviate from Algorithm 1, invalidating all experimental results and conclusions. Despite exhaustive efforts to correct these issues, we find they fundamentally undermine the paper's core claims. To uphold academic integrity and prevent misinformation, we are withdrawing this manuscript

Interaction Dynamics as a Reward Signal for LLMs

Sian Gooding, Edward Grefenstette

机构 * Google DeepMind（谷歌DeepMind） 纠错

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

From Natural Language to Certified H-infinity Controllers: Integrating LLM Agents with LMI-Based Synthesis

Shihao Li, Jiachen Li, Jiamin Xu, Dongmei Chen

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