RepoMAS: Solving Progressively Specified Tasks with Issue-Driven Multi-Agent Systems
cs.AI
Submitted: 2026-09-26
Updated: 2026-09-26
Terminology
Sources
- Program Synthesis with Large Language Models
- Evaluating Large Language Models Trained on Code
- Training Verifiers to Solve Math Word Problems
- AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs
- SpecBench: Evaluating Specification-Level Reasoning for Software Engineering LLM Agents
- AgentCoder: Multi-Agent-based Code Generation with Iterative Testing and Optimisation
- Coupled Hierarchical Search over Topology and Execution for Agentic Workflow Synthesis
- A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration
- Improving the Efficiency of Language Agent Teams with Adaptive Task Graphs
- ICAE-Bench: Evaluating Coding Agents as Interactive Project Builders
- AOrchestra: Automating Sub-Agent Creation for Agentic Orchestration
- Multi-Agent Collaboration Mechanisms: A Survey of LLMs
- AgentConductor: Topology Evolution for Multi-Agent Competition-Level Code Generation
- MetaGen: Self-Evolving Roles and Topologies for Multi-Agent LLM Reasoning
- SWE-Together: Evaluating Coding Agents in Interactive User Sessions
- Meta-Agent: From Task Descriptions to Verified Multi-Agent Systems
- TacoMAS: Test-Time Co-Evolution of Topology and Capability in LLM-based Multi-Agent Systems
- Understanding Agent Scaling in LLM-Based Multi-Agent Systems via Diversity
- G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks
- Multi-agent Architecture Search via Agentic Supernet
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