#multi‑agent systems
59 papers · 1 filter
PAIChecker: Uncovering and Checking PR-Issue Misalignment in SWE-Bench-Like Benchmarks
Manyi Wang, Junjielong Xu, Pinjia He
The paper introduces PAIChecker, a multi‑agent system that automatically detects misalignments between pull requests and their linked issues in SWE‑bench‑style benchmarks, improvin…
MANTA: Multi-Agent Network Topology Adaptation for Self-Evolving Multi-Agent Systems
Mao-xun Huang, Jerry Wang, Yi-Cheng Lai +3
The paper presents MANTA, a framework that lets large language model‑driven multi‑agent systems dynamically adjust their communication topology during inference, updating roles, li…
SKIMIX: Multi-Agent Harness-Time Scaling with Skill Mixture for Dynamic Harness Engineering
Jia Luo
The paper introduces SKIMIX, a multi-agent framework that enables AI agents to retrieve, combine, and evolve skills from a large library using embedding-based retrieval and submodu…
-Mem: An Online Reliability Memory for LLM-based Multi-Agent Systems
Peilin Feng, Suorong Yang, Soujanya Poria
The paper introduces Σ‑Mem, an online memory system that tracks and updates reliability evidence for individual agents and their relationships in large language model multi‑agent s…
Argonaut: Interactive Visual Exploration for Distributed Optimization
Srijoni Majumdar, Chuhao Qin, Evangelos Pournaras
Argonaut is a lightweight, containerized dashboard that lets users interactively visualize and explore the entire search process of distributed multi‑agent discrete‑choice optimiza…
Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis
Linus Sander, Fengjunjie Pan, Vahid Zolfaghari +3
The paper identifies four design principles for building scalable large‑language‑model‑driven multi‑agent systems, proposes a reference architecture based on a constrained directed…