Multiagent Systems Papers
@PIN
Followers
1K
Following
0
Media
0
Statuses
13K
New Multiagent Systems submissions to https://t.co/FCQuEcAZJ6 (not affiliated with https://t.co/FCQuEcAZJ6)
Joined October 2010
Stronger-MAS: Multi-Agent Reinforcement Learning for Collaborative LLMs.
arxiv.org
Multi-agent systems (MAS) and reinforcement learning (RL) are widely used to enhance the agentic capabilities of large language models (LLMs). MAS improves task performance through role-based...
0
0
1
What Is Your AI Agent Buying? Evaluation, Biases, Model Dependence, & Emerging Implications for Agentic E-Commerce.
arxiv.org
Online marketplaces will be transformed by autonomous AI agents acting on behalf of consumers. Rather than humans browsing and clicking, AI agents can parse webpages or interact through APIs to...
0
0
0
TrafficGamer: Reliable and Flexible Traffic Simulation for Safety-Critical Scenarios with Game-Theoretic Oracles.
arxiv.org
While modern Autonomous Vehicle (AV) systems can develop reliable driving policies under regular traffic conditions, they frequently struggle with safety-critical traffic scenarios. This...
0
0
0
Parallelism Meets Adaptiveness: Scalable Documents Understanding in Multi-Agent LLM Systems.
arxiv.org
Large language model (LLM) agents have shown increasing promise for collaborative task completion. However, existing multi-agent frameworks often rely on static workflows, fixed roles, and limited...
0
0
0
MedChat: A Multi-Agent Framework for Multimodal Diagnosis with Large Language Models.
arxiv.org
The integration of deep learning-based glaucoma detection with large language models (LLMs) presents an automated strategy to mitigate ophthalmologist shortages and improve clinical reporting...
0
0
1
Epistemic diversity across language models mitigates knowledge collapse.
arxiv.org
The growing use of artificial intelligence (AI) raises concerns of knowledge collapse, i.e., a reduction to the most dominant and central set of ideas. Prior work has demonstrated single-model...
0
0
0
SGEMAS: A Self-Growing Ephemeral Multi-Agent System for Unsupervised Online Anomaly Detection via Entropic Homeostasis.
arxiv.org
Current deep learning approaches for physiological signal monitoring suffer from static topologies and constant energy consumption. We introduce SGEMAS (Self-Growing Ephemeral Multi-Agent System),...
0
0
0
Mapis: A Knowledge-Graph Grounded Multi-Agent Framework for Evidence-Based PCOS Diagnosis.
arxiv.org
Polycystic Ovary Syndrome (PCOS) constitutes a significant public health issue affecting 10% of reproductive-aged women, highlighting the critical importance of developing effective diagnostic...
0
0
0
Single-Agent Scaling Fails Multi-Agent Intelligence: Towards Foundation Models with Native Multi-Agent Intelligence.
arxiv.org
Foundation models (FMs) are increasingly assuming the role of the ''brain'' of AI agents. While recent efforts have begun to equip FMs with native single-agent abilities -- such as GUI interaction...
0
0
0
Rethinking the Reliability of Multi-agent System: A Perspective from Byzantine Fault Tolerance.
arxiv.org
Ensuring the reliability of agent architectures and effectively identifying problematic agents when failures occur are crucial challenges in multi-agent systems (MAS). Advances in large language...
0
0
0
Convergence dynamics of Agent-to-Agent Interactions with Misaligned objectives.
arxiv.org
We develop and analyze a theoretical framework for agent-to-agent interactions in a simplified in-context linear regression setting. In our model, each agent is instantiated as a single-layer...
0
0
0
Bayesian Ego-graph Inference for Networked Multi-Agent Reinforcement Learning.
arxiv.org
In networked multi-agent reinforcement learning (Networked-MARL), decentralized agents must act under local observability and constrained communication over fixed physical graphs. Existing methods...
0
0
0
Optimizing Highway Traffic Flow in Mixed Autonomy: A Multiagent Truncated Rollout Approach.
arxiv.org
The development of connected and autonomous vehicles (CAVs) offers substantial opportunities to enhance traffic efficiency. However, in mixed autonomy environments where CAVs coexist with...
0
0
0
Hierarchical Multi-agent Large Language Model Reasoning for Autonomous Functional Materials Discovery.
arxiv.org
Artificial intelligence is reshaping scientific exploration, but most methods automate procedural tasks without engaging in scientific reasoning, limiting autonomy in discovery. We introduce...
0
0
0
LoopBench: Discovering Emergent Symmetry Breaking Strategies with LLM Swarms.
arxiv.org
Large Language Models (LLMs) are increasingly being utilized as autonomous agents, yet their ability to coordinate in distributed systems remains poorly understood. We introduce...
0
0
1
Multi-Agent Medical Decision Consensus Matrix System: An Intelligent Collaborative Framework for Oncology MDT Consultations.
arxiv.org
Multidisciplinary team (MDT) consultations are the gold standard for cancer care decision-making, yet current practice lacks structured mechanisms for quantifying consensus and ensuring decision...
0
0
1
Multi-Agent Collaborative Framework for Intelligent IT Operations: An AOI System with Context-Aware Compression and Dynamic Task Scheduling.
arxiv.org
The proliferation of cloud-native architectures, characterized by microservices and dynamic orchestration, has rendered modern IT infrastructures exceedingly complex and volatile. This complexity...
0
0
0
Regret Lower Bounds for Decentralized Multi-Agent Stochastic Shortest Path Problems.
arxiv.org
Multi-agent systems (MAS) are central to applications such as swarm robotics and traffic routing, where agents must coordinate in a decentralized manner to achieve a common objective. Stochastic...
0
0
0