arXiv (All)
open access
RepoMAS: Solving Progressively Specified Tasks with Issue-Driven Multi-Agent Systems
LLM-based multi-agent systems (MASs) have shown strong potential for solving complex tasks, but most assume that task requirements are sufficiently specified before execution. In practice, user requests are often incomplete, and additional requirements may only become clear during reasoning, tool us
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Multi-agent Scaling Across Disjunctive and Compensatory Tasks#1106262
- Scepsy: Serving Agentic Workflows Using Aggregate LLM Pipelines#1105012
- Value-Preserving Architectures for Agentic AI Systems#926786
- LogicHunter: Testing LLM Agent Frameworks with an Agentic Oracle#346575
- Reverse engineering the centered self#691275
Record · ID 1116821
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive