ForeAgent predicts agent success before execution and cuts convergence time 6×
jiqizhixin · x · 2026-07-22
- Researchers from Zhejiang University and Ant Group propose ForeAgent, a world-model-style agent that predicts which data-analysis solution will work before running expensive experiments.
- The system uses a Verified Data Analysis Report to estimate success, rather than relying only on execution.
- Reported results: 61.5% prediction accuracy, 6× faster convergence, and a 6% performance boost over execution-based baselines.
- The thread links the paper, code, and dataset, and the figure shows the pipeline from task definition and data curation to the Predict-then-Verify loop.
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