Task-CoEvolve Algorithm Cuts Evaluation Costs by 80%

The Task-CoEvolve paper proposes optimizing LLM agents via adaptive validation task selection. By sampling tasks with high model disagreement, it avoids wasted computation on easy or overly hard tasks, cutting evaluation costs by 80%.

2026-08-22 ~ 2026-08-24 · 2 related posts

• Task-CoEvolve: Efficient Agent Harness Optimization via Adaptive Task Selection — tokenbender · 2026-08-22
• Task-CoEvolve Cuts Evaluation Cost by 80% via Adaptive Sampling — burny_tech · 2026-08-24