AI & Machine Learning · Computer Science & AI
Multiagent Systems
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829 papers, from 4 September 2026 to 5 November 2026: 829 arXiv preprints.
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Newest papers, page 36
Replan, Repair, or Edit? A Unified Empirical Evaluation of Travel Agents for Itinerary Revision under Resource Disruptions
Travel-planning agents generate itineraries that may become infeasible after acceptance because of flight cancellations, hotel unavailability, or attraction closures.FINSKILLOPS: A Self-Evolving Multi-Agent System for SEC Filing QA
Financial QA systems are typically improved before deployment through better retrieval, prompting, or agent coordination, leaving their reliability behavior fixed thereafter.SoK: Trading Agents or Market Crashers? Dissecting Robustness and Security Failures in Academic Financial LLM Trading Schemes
Autonomous large language model (LLM) agents are moving rapidly into high-stakes domains, yet existing agentic-AI security studies remain largely domain-agnostic and overlook the distinctive…LearnActCoder: Role-Aware Error Memory for Adaptive Clinical Coding Agents
Clinical coding agents repeatedly encounter the same failure modes, including unsupported codes, missed documented conditions, specificity errors, and procedure-coding convention mismatches.Benchmarking LLM Compliance with China AI Generated Content Regulations
The widespread adoption of LLMs has led to escalating content compliance risks.A Proposal for an Agentic AI Architecture to Support Multi-Domain Decision-Making in the Brazilian Armed Forces
The growing complexity of multi-domain operational environments (land, aerospace, naval, cyber, and electromagnetic spectrum) has increased the volume and velocity of data reaching…Language-model groups overstate consensus when replaying human deliberation on a reasoning task
Full-consensus rates are often treated as indicators of collective cognition, yet depend on how participation and final states are operationalized.Value-Based Massive Access through Goal-Oriented Irregular Repetition Slotted ALOHA
The goal-oriented communication paradigm is poised to enable novel real-time applications by easing the burden on communication networks while still delivering task-relevant information.NS3Learn: Transferring 5G NR Mode-2 Reception Realism from ns-3 to the Veins/SUMO Stack for Connected-Vehicle Safety Assessment
Connected-vehicle safety evaluations rely on coupled traffic and network simulations, but standard channel models ignore radio resource competition in 5G NR sidelink Mode-2, reporting…COIN-GP: Cooperative Online Learning in Networked Distributed Systems with Partial Measurements via Gaussian Process Regression
In this paper, we tackle the problem of jointly estimating the system states and partially unknown dynamics within distributed sensor-equipped networks, particularly in scenarios where only partial…Loopjacking: Hijacking Human-in-the-Loop Approval
Human approval is often treated as the last security boundary before an agent executes a consequential operation.ABM-SIRTEM: A Hybrid Agent-Based and Epidemiological Model for Pandemic Response
The COVID-19 pandemic has had profound impacts on global health, social structures, and economies.Where Should Agents Live? Energy-Memory Characterization of Agentic AI for the Edge-Cloud Continuum
As telecommunication networks evolve toward autonomous 5G-Advanced and 6G operations, agentic artificial intelligence (AI) workflows, where large language models (LLMs) execute multi-step reasoning…Compositional Policy Violations: When Step-Level Compliance Fails In Agentic AI Workflows
Agentic workflows now make consequential decisions in regulated settings, and the governance placed around them is almost entirely step-scoped: input-output classifiers, per turn rails, and…Social Laws for Multi-agent Coordination in Stochastic Environments
In multi-agent environments, coordinating agents to prevent interference and ensure robust individual performance is a critical challenge.Flag Game: A Toy Model for Mechanistic Swarm Interpretability
Emergent coordinated behaviors of AI agents are starting to present critical safety risks.Cognitive Extensions for Dual-Process Language Agents: Memory and Self-Reflection in Interactive Environments
Language agents remain brittle in interactive environments, where success requires long-horizon state tracking, valid action execution, and recovery from failed steps.Position: It is Time to Virtualize Foundation Models with a Self-evolving Operating System Layer
AI applications have shifted from single, monolithic foundation models (FM) to compound agentic systems.CC-OPI: Online Distributed Task Allocation for UAV Swarms under Communication Constraints
In multi-robot missions such as post-disaster search and rescue, a short communication range fragments a swarm of Unmanned Aerial Vehicles (UAVs) into transient information islands.The AR Fairness Metamodel: A Structured Framework for Fairness Measures
This paper presents the AR fairness metamodel, a framework designed to represent, analyze, and compare different fairness scenarios.