:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Yiquan, Huang, Tin-Yeh, Gao, Qingyun, Chang, Yuhan, Zhang, Jialin
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Multiagent Systems
Online Access:	https://arxiv.org/abs/2509.25112
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Exploration of LLM Multi-Agent Application Implementation Based on LangGraph+CrewAI
by: Duan, Zhihua, et al.
Published: (2024)

BioDiscoveryAgent: An AI Agent for Designing Genetic Perturbation Experiments
by: Roohani, Yusuf, et al.
Published: (2024)

Auditing Cascading Risks in Multi-Agent Systems via Semantic-Geometric Co-evolution
by: Luo, Zixun, et al.
Published: (2026)

Can AI Agents Design and Implement Drug Discovery Pipelines?
by: Smbatyan, Khachik, et al.
Published: (2025)

Enhancing Multi-Agent Consensus through Third-Party LLM Integration: Analyzing Uncertainty and Mitigating Hallucinations in Large Language Models
by: Duan, Zhihua, et al.
Published: (2024)

PMAx: An Agentic Framework for AI-Driven Process Mining
by: Antonov, Anton, et al.
Published: (2026)

BioProAgent: Neuro-Symbolic Grounding for Constrained Scientific Planning
by: Liu, Yuyang, et al.
Published: (2026)

From Spark to Fire: Modeling and Mitigating Error Cascades in LLM-Based Multi-Agent Collaboration
by: Xie, Yizhe, et al.
Published: (2026)

Trade in Minutes! Rationality-Driven Agentic System for Quantitative Financial Trading
by: Song, Zifan, et al.
Published: (2025)

PeroMAS: A Multi-agent System of Perovskite Material Discovery
by: Wang, Yishu, et al.
Published: (2026)

AI-Mediated Explainable Regulation for Justice
by: Hofweber, Thomas, et al.
Published: (2026)

SCP: Accelerating Discovery with a Global Web of Autonomous Scientific Agents
by: Jiang, Yankai, et al.
Published: (2025)

Adaptive Value Decomposition: Coordinating a Varying Number of Agents in Urban Systems
by: Li, Yexin, et al.
Published: (2026)

Distributionally Robust Cooperative Multi-Agent Reinforcement Learning via Robust Value Factorization
by: Qu, Chengrui, et al.
Published: (2026)

BioAgents: Democratizing Bioinformatics Analysis with Multi-Agent Systems
by: Mehandru, Nikita, et al.
Published: (2025)

Regulator-Manufacturer AI Agents Modeling: Mathematical Feedback-Driven Multi-Agent LLM Framework
by: Han, Yu, et al.
Published: (2024)

MedSentry: Understanding and Mitigating Safety Risks in Medical LLM Multi-Agent Systems
by: Chen, Kai, et al.
Published: (2025)

Octopus Protocol: One-Shot Hardware Discovery and Control for AI Agents via Infrastructure-as-Prompts
by: Simeon, Quilee, et al.
Published: (2026)

Agentic Discovery: Closing the Loop with Cooperative Agents
by: Pauloski, J. Gregory, et al.
Published: (2025)

Multi-agent Embodied AI: Advances and Future Directions
by: Feng, Zhaohan, et al.
Published: (2025)

Agent Exchange: Shaping the Future of AI Agent Economics
by: Yang, Yingxuan, et al.
Published: (2025)

Enhancing Robustness of LLM-Driven Multi-Agent Systems through Randomized Smoothing
by: Hu, Jinwei, et al.
Published: (2025)

Constructive Conflict-Driven Multi-Agent Reinforcement Learning for Strategic Diversity
by: Mai, Yuxiang, et al.
Published: (2025)

The Station: An Open-World Environment for AI-Driven Discovery
by: Chung, Stephen, et al.
Published: (2025)

The AI Telco Engineer: Toward Autonomous Discovery of Wireless Communications Algorithms
by: Aoudia, Fayçal Aït, et al.
Published: (2026)

MentalArena: Self-play Training of Language Models for Diagnosis and Treatment of Mental Health Disorders
by: Li, Cheng, et al.
Published: (2024)

EvoSkill: Automated Skill Discovery for Multi-Agent Systems
by: Alzubi, Salaheddin, et al.
Published: (2026)

Diversity Collapse in Multi-Agent LLM Systems: Structural Coupling and Collective Failure in Open-Ended Idea Generation
by: Chen, Nuo, et al.
Published: (2026)

EnvX: Agentize Everything with Agentic AI
by: Chen, Linyao, et al.
Published: (2025)

Conservative Equilibrium Discovery in Offline Game-Theoretic Multiagent Reinforcement Learning
by: Nguyen, Austin A., et al.
Published: (2026)

MARINE: Theoretical Optimization and Design for Multi-Agent Recursive IN-context Enhancement
by: Zhang, Hongwei, et al.
Published: (2025)

KramaBench: A Benchmark for AI Systems on Data-to-Insight Pipelines over Data Lakes
by: Lai, Eugenie, et al.
Published: (2025)

Democratizing Drug Discovery with an Orchestrated, Knowledge-Driven Multi-Agent Team for User-Guided Therapeutic Design
by: Suzuki, Takahide, et al.
Published: (2025)

An AI-Driven Data Mesh Architecture Enhancing Decision-Making in Infrastructure Construction and Public Procurement
by: Mishra, Saurabh, et al.
Published: (2024)

Beyond Shallow Behavior: Task-Efficient Value-Based Multi-Task Offline MARL via Skill Discovery
by: Wang, Xun, et al.
Published: (2025)

Tackling One Health Risks: How Large Language Models are leveraged for Risk Negotiation and Consensus-building
by: Fetsch, Alexandra, et al.
Published: (2025)

Ad-Hoc Human-AI Coordination Challenge
by: Dizdarević, Tin, et al.
Published: (2025)

GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis
by: Liu, Haoyang, et al.
Published: (2025)

Empowering Medical Multi-Agents with Clinical Consultation Flow for Dynamic Diagnosis
by: Wang, Sihan, et al.
Published: (2025)

Technical Implementation of Tippy: Multi-Agent Architecture and System Design for Drug Discovery Laboratory Automation
by: Fehlis, Yao, et al.
Published: (2025)