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Transfer Understanding from Head Queries to Tail Queries., , , и . CIKM, стр. 1299-1308. ACM, (2014)BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining., , , , , , , , , и 2 other автор(ы). CoRR, (2020)XLM-K: Improving Cross-Lingual Language Model Pre-training with Multilingual Knowledge., , , и . AAAI, стр. 10840-10848. AAAI Press, (2022)OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering., , , , и . NAACL-HLT, стр. 932-942. Association for Computational Linguistics, (2022)MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation., , , , , и . NAACL-HLT, стр. 1610-1623. Association for Computational Linguistics, (2022)Beyond ten blue links: enabling user click modeling in federated web search., , , , и . WSDM, стр. 463-472. ACM, (2012)Large-scale L-BFGS using MapReduce., , и . NIPS, стр. 1332-1340. (2014)Reasoning Like Program Executors., , , , , , , , и . EMNLP, стр. 761-779. Association for Computational Linguistics, (2022)Soft-Labeled Contrastive Pre-Training for Function-Level Code Representation., , , , , , , , и . EMNLP (Findings), стр. 118-129. Association for Computational Linguistics, (2022)Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models., , , , , и . ECCV (23), том 13683 из Lecture Notes in Computer Science, стр. 389-405. Springer, (2022)