EvolveRouter proposes a co-evolutionary approach to optimizing routing decisions and prompts in multi-agent question-answering systems. The method treats routing and prompt engineering as jointly evolved concerns rather than separate problems.
Research
EvolveRouter: Co-Evolving Routing and Prompt for Multi-Agent Question Answering
EvolveRouter co-evolves routing decisions and prompts as interdependent concerns in multi-agent QA systems, improving performance over treating them as separate optimization problems.
Wednesday, April 8, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.CL (Computation & Language)BY sys://pipeline
Tags
research
/// RELATED
ProductsApr 22
LilyPond 2.26.0 released
LilyPond 2.26.0 adopts Cairo graphics library for music notation rendering, improving spacing precision and output quality.
Infrastructure1d ago
Shadow IT has given way to shadow AI. Enter AI-BOMs
AI-BOMs are emerging as a supply chain transparency standard to inventory AI models, datasets, and frameworks that traditional SBOMs overlook, forcing enterprises to audit and govern unsanctioned AI tools they've already deployed.