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Less-ForgettingMulti-LingualFine-Tuning
Neural Information Processing Systems
Tofillthisgap,thispaper proposes amulti-lingual finetuning method, dubbed Less-forgetting Multi-lingual Fine-tuning (LF-MLF).
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Batch-SizeIndependentRegretBoundsfor CombinatorialSemi-BanditswithProbabilistically TriggeredArmsorIndependentArms
Neural Information Processing Systems
As a valuable by-product, the regret analysis used in this paper can improve several existing results by a factor ofO(logK).
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