EnvLunch trains agents from environments without written tasks
The label-free warm-up beat the baseline by over 9 points on average, and matched it with 8 to 32 times fewer annotations.
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The label-free warm-up beat the baseline by over 9 points on average, and matched it with 8 to 32 times fewer annotations.
MIT Tech Review describes methodology for mapping border surveillance deaths, using AI to process records with human verification.
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