AgentGrad: intervention-guided prompt optimization hits SOTA with 2.5x faster tuning
_akhaliq · x · 2026-09-10
The AgentGrad paper introduces intervention-guided prompt optimization, improving multi-agent prompt optimization via sequential intervention and semantic textual gradient abstraction.
It achieves state-of-the-art results on 5 multi-agent system (MAS) benchmarks while making optimization 2.5x faster.
Related event: AgentGrad: intervention-guided prompt optimization for multi-agent systems(2 posts)→
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