works on
evaluation benchmarks 1local language models 1multi-agent systems 1prompt engineering 1self-refinement 1

From the 1 of 1 linked paper with an AI index.

collaborators

1 paper

cs.LG2026

Two Calls Beat Five Agents: Evaluating Multi-Agent Pipelines Against Self-Refinement for Local Language Models

Ashish Prajapati, Om Mohite

The paper compares a five‑role multi‑agent LLM pipeline with a simpler two‑call self‑refinement approach on a local 7B model, finding that communication format and implementation d…