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Snorkel Advances Agent Evaluation for Long-Horizon Tasks

Proud that Snorkel contributed to this work as authors on evaluating agents on realistic, long-horizon terminal tasks—where even strong models struggle to reliably complete end-to-end workflows. Thanks @Mike_A_Merrill @alexgshaw @laudeinstitute @stanfordailab for the opportunity

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