Joint KL yields horizon-free approximation but an information-theoretic lower bound of order Omega(H) for estimation error in autoregressive learning, with matching computationally efficient upper bounds.
arXiv preprint arXiv:2304.09960 , year=
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The paper surveys definitions, techniques, applications, and challenges in in-context learning for large language models.
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A Survey on In-context Learning
The paper surveys definitions, techniques, applications, and challenges in in-context learning for large language models.