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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Learning How Much to Collaborate: Difficulty-Aware Topology Selection for Multi-Agent Code Generation
Multi-agent systems for code generation are deployed with a single communication topology, chosen once for every problem.A Low-Latency Interactive System for Real-Time Video Understanding Based on VLMs
Vision-language models are extending video understanding from offline clip analysis to continuous interactive streaming, but most research still emphasizes model capability rather than deployable…Multi-Modal Tumor Survival Prediction via Graph-Guided Mixture of Experts
Large Language Models (LLMs) have displayed impressive capabilities in handling tasks that require few demonstration examples, making them effective few-shot learners.Hierarchical Belief Modeling for Zero-Shot Opponent Adaptation in Partially Observable Multi-Agent Navigation
Lux AI Season 3 requires agents to act under partial observability, randomized episode level dynamics, and a best of five match structure that rewards both tactical execution and fast adaptation.What Drives Recovery in Agentic Text-to-Cypher? LAST-CQ: An LLM Agent Self-Refinement Framework
Agentic pipelines for structured-query generation are rapidly expanding, but it is unclear which part of the loop produces the gain.The Mechanics of a Swarm: A Reproducible External Reconstruction of an Unintended Agent-Coordination Episode on a Third-Party Wiki
Between 24 May and 2 July 2026, autonomous language-model agents running inside a timed research-question evaluation wrote to a third party's public, world-writable wiki.DementiaCare-Bench: A Modality-Validated Video Benchmark
Dementia affects an estimated 57 million people worldwide, and for most families the hardest part of care is not memory loss but the behavioral and psychological symptoms of dementia (BPSD)…The Agentic Company OS: Substrate Inversion for Sustained Enterprise Agent Deployment
Enterprise AI agents often succeed in a demonstration and then stall once they must operate day after day.Vibe Patenting: Evaluating LLM Judges for Professional Patent-Drafting Agents
LLM judges are increasingly used to evaluate and improve AI-generated outputs, yet their reliability for complex professional work remains unclear.A Hybrid Agentic AI Framework for Intelligent Supply Chain Analytics
Efficient utilization of supply chain analytics for decision making remains a significant challenge for planners, as critical tasks such as database querying, key performance indicator (KPI)…Comparative Framework Analysis for Enterprise Generative AI Applications: Chatbot, Automation, and Oracle-to-PostgreSQL Migration
This study compares framework suitability across three classes of enterprise generative AI applications: a documentation-based development assistant, an email and inquiry automation system, and an…Evaluating Scaffolding-Oriented Multi-Agent Large Language Model System for Clinical Interview Training
Clinical education must prepare medical students to conduct safe and coherent patient interviews under conditions of uncertainty.Defining AI Agents: A Compendium of Criteria, Metrics, and Benchmarks
The term agent in artificial intelligence lacks a standard definition, complicating the evaluation, comparison, and reproducibility of AI agent research.But How Would AI Agents Run a Town's Economy?
We placed 100 memory-equipped large language model (LLM) agents in charge of a closed, money-conserving spatial economy on real Pokhara Lakeside geography (earning wages, running businesses, setting…Portable Semantics, Private Dialects: Reuse and Negative Transfer in Latent Communication Between Language-Model Cells
In shared-genome language-model societies, restricted evidence visibility favors reusable, value-indexed latent packet interfaces, whereas the sole high-performing globally visible model in the…From Document Silos to Process Intelligence: A Multi-Layer Knowledge Graph for CMC Process Development
Chemistry, Manufacturing and Controls (CMC) process development generates an enormous body of technical information across a multi-stage, knowledge-intensive continuum from drug discovery to…When Agents Disagree: Bayesian Backward Reasoning as a Label-Free Anchor for Multi-Agent Collective Decision-Making
When multiple LLM agents yield conflicting answers, the decision-making process dictates whether agent diversity improves performance or merely compounds shared errors.ORCH: Organizational Principles Enable Collective Intelligence in Embodied AI
Collective intelligence depends not only on the capabilities of individual members, but also on how those members are organized.Truncated Noisy Best-Response Algorithms: Toward Game Theoretic Learning with Safety Guarantees
We consider a game theoretic approach to solve multi-agent coordination problems with submodular maximization objectives.Deriving the Pure Price of Anarchy for Networked Resource Allocation Games
This work considers multi-agent coordination with arbitrary information networks among the agents using a game-theoretic approach.