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Large pre-trained language models have shown promise for few-shot learning, completing text-based tasks given only a few task-specific examples. Will models soon solve classification tasks that have so far been reserved for human research assistants?

RAFT is a few-shot classification benchmark that tests language models:


We’re considering a successor, RAFT 2. You can participate as co-author by submitting a dataset.