2025 Poster "multi-agent systems" Papers

16 papers found

Agent-Oriented Planning in Multi-Agent Systems

Ao LI, Yuexiang Xie, Songze Li et al.

ICLR 2025posterarXiv:2410.02189
21
citations

Automated Composition of Agents: A Knapsack Approach for Agentic Component Selection

Michelle Yuan, Khushbu Pahwa, Shuaichen Chang et al.

NeurIPS 2025posterarXiv:2510.16499

Do as We Do, Not as You Think: the Conformity of Large Language Models

Zhiyuan Weng, Guikun Chen, Wenguan Wang

ICLR 2025posterarXiv:2501.13381
18
citations

DUET: Decentralized Bilevel Optimization without Lower-Level Strong Convexity

Zhen Qin, Zhuqing Liu, Songtao Lu et al.

ICLR 2025poster
1
citations

Graph Neural Networks Gone Hogwild

Olga Solodova, Nick Richardson, Deniz Oktay et al.

ICLR 2025posterarXiv:2407.00494
1
citations

Hypothetical Minds: Scaffolding Theory of Mind for Multi-Agent Tasks with Large Language Models

Logan Cross, Violet Xiang, Agam Bhatia et al.

ICLR 2025posterarXiv:2407.07086
22
citations

Knowledge Starts with Practice: Knowledge-Aware Exercise Generative Recommendation with Adaptive Multi-Agent Cooperation

Yangtao Zhou, Hua Chu, chen et al.

NeurIPS 2025poster

KVCOMM: Online Cross-context KV-cache Communication for Efficient LLM-based Multi-agent Systems

Hancheng Ye, Zhengqi Gao, Mingyuan Ma et al.

NeurIPS 2025posterarXiv:2510.12872
1
citations

Learning to Communicate Through Implicit Communication Channels

Han Wang, Binbin Chen, zhang et al.

ICLR 2025posterarXiv:2411.01553
5
citations

Lessons Learned: A Multi-Agent Framework for Code LLMs to Learn and Improve

Yuanzhe Liu, Ryan Deng, Tim Kaler et al.

NeurIPS 2025posterarXiv:2505.23946

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation

Haoyang Fang, Boran Han, Nick Erickson et al.

NeurIPS 2025posterarXiv:2505.13941
7
citations

Rainbow Delay Compensation: A Multi-Agent Reinforcement Learning Framework for Mitigating Observation Delays

Songchen Fu, Siang Chen, Shaojing Zhao et al.

NeurIPS 2025poster

SiriuS: Self-improving Multi-agent Systems via Bootstrapped Reasoning

Wanjia Zhao, Mert Yuksekgonul, Shirley Wu et al.

NeurIPS 2025posterarXiv:2502.04780
18
citations

Solving Continuous Mean Field Games: Deep Reinforcement Learning for Non-Stationary Dynamics

Lorenzo Magnino, Kai Shao, Zida Wu et al.

NeurIPS 2025posterarXiv:2510.22158
2
citations

Towards Doctor-Like Reasoning: Medical RAG Fusing Knowledge with Patient Analogy through Textual Gradients

Yuxing Lu, Gecheng Fu, Wei Wu et al.

NeurIPS 2025poster
6
citations

Towards Principled Unsupervised Multi-Agent Reinforcement Learning

Riccardo Zamboni, Mirco Mutti, Marcello Restelli

NeurIPS 2025posterarXiv:2502.08365
2
citations