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University of Massachusetts Amherst
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Learning to coordinate retrieval signals can significantly boost multi-hop reasoning accuracy in language models.
Forget generic student models – this work shows you can get significantly more realistic student simulations by conditioning on a student's full learning history, unlocking better tutor model training and evaluation.
