arXiv (All)
open access
An Exact Generate - Transform Decomposition of Small-LLM Team Scaling Across Orchestration Architectures
Replacing one LLM agent with a collaborating team can raise accuracy, but whether scaling the team helps, and which architecture to scale, is unclear. Sweeping eight agent orchestration architectures across five instruction-tuned 7-9B models, five short-answer benchmarks, and an executable-code benc
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
- OrchSLM: Probing the Dynamics of Small Language Model Orchestration#1071256
- Testing Interchangeability in LLM Agent Teams#972215
- EvoSteer: Online Self-Evolving Graph Orchestration via Reference-Anchored Credit Assignment#1143262
- MTAC-IFBench: Benchmarking Instruction-Following in Multi-Turn Agentic Coding#1084892
- APIFlow-Bench: Measuring Whether Agents Survive Long, Dependent API Workflows#793951
Record · ID 1130946
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