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cs.LG2025
Learning to Answer from Correct Demonstrations
Nirmit Joshi, Gene Li, Siddharth Bhandari +3
We study the problem of learning to generate an answer (or completion) to a question (or prompt), where there could be multiple correct answers, any one of which is acceptable at t…
cs.LG2025
Learning single-index models via harmonic decomposition
Nirmit Joshi, Hugo Koubbi, Theodor Misiakiewicz +1
We study the problem of learning single-index models, where the label depends on the input only through an unknown one-dimensio…
stat.ML2025
A Theory of Learning with Autoregressive Chain of Thought
Nirmit Joshi, Gal Vardi, Adam Block +4
For a given base class of sequence-to-next-token generators, we consider learning prompt-to-answer mappings obtained by iterating a fixed, time-invariant generator for multiple ste…