Researchers release FABench to test forecasting agents on past events
Researchers introduced FABench, a new benchmark designed to evaluate forecasting agents by testing their ability to integrate incomplete evidence, infer causal drivers, and make calibrated probabilistic judgments. Unlike existing benchmarks, FABench uses a scalable backtesting environment that automatically generates questions from past events, resolves outcomes, and updates the dataset to stay…
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Read the original at arXiv cs.AI · by Yuxuan Wang, Yishu Wang, Jiaqi Deng primary sourceOpen source ↗
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