AgentGrad: intervention-guided prompt optimization for multi-agent systems
The AgentGrad paper introduces intervention-guided prompt optimization for multi-agent systems, using sequential intervention to locate target agents and semantic textual gradients, claiming a 2.5x speedup with SOTA results.
2026-09-10 ~ 2026-09-10 · 2 related posts
- AgentGrad Targets the Right Agent First: Intervention-Guided Prompt Optimization for Multi-Agent Systems — Jaewon Chu · 2026-09-10
- AgentGrad: intervention-guided prompt optimization hits SOTA with 2.5x faster tuning — _akhaliq · 2026-09-10