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Adam Tauman Kalai
Researcher at Microsoft
Publications - 158
Citations - 11369
Adam Tauman Kalai is an academic researcher from Microsoft. The author has contributed to research in topics: Computer science & Convex optimization. The author has an hindex of 47, co-authored 147 publications receiving 9526 citations. Previous affiliations of Adam Tauman Kalai include Northwestern University & Toyota.
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Efficient Learning with Arbitrary Covariate Shift
Adam Tauman Kalai,Varun Kanade +1 more
TL;DR: In this paper, a polynomial-time PQ-learning algorithm that uses an oracle to a "reliable" learner for C, where reliable learning is a model of learning with one-sided noise.
Journal ArticleDOI
Do Language Models Know When They're Hallucinating References?
TL;DR: The authors found that many of these fabrications can be identified using the same language model using only black-box queries without consulting any external resources, which suggests that the hallucination may be more a result of generation techniques than the underlying representation.
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Towards optimally abstaining from prediction.
Adam Tauman Kalai,Varun Kanade +1 more
TL;DR: The transductive abstention algorithm of as mentioned in this paper takes labeled training examples and unlabeled test examples as input, and provides predictions with optimal prediction loss guarantees, where the loss bounds match standard generalization bounds when test examples are i.i.d.