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The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models.

, , , , , , , and . EMNLP, page 4163-4181. Association for Computational Linguistics, (2022)

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ORCAS: 20 Million Clicked Query-Document Pairs for Analyzing Search., , , , and . CIKM, page 2983-2989. ACM, (2020)Variability in individual activity bursts improves ant foraging success, , , , and . JOURNAL OF THE ROYAL SOCIETY INTERFACE, (2016)Persistence in eye movement during visual search, , , , and . SCIENTIFIC REPORTS, (2016)TREC Deep Learning Track: Reusable Test Collections in the Large Data Regime., , , , , and . SIGIR, page 2369-2375. ACM, (2021)MS MARCO: A Human Generated MAchine Reading COmprehension Dataset, , , , , , , , , and 5 other author(s). (2016)cite arxiv:1611.09268.Quick Dense Retrievers Consume KALE: Post Training KullbackLeibler Alignment of Embeddings for Asymmetrical dual encoders., , and . SustaiNLP, page 59-77. Association for Computational Linguistics, (2023)Curriculum learning for language modeling. (2021)cite arxiv:2108.02170.Towards Labeling On-Demand IoT Traffic., and . CSET @ USENIX Security Symposium, page 49-57. ACM, (2021)Overview of the TREC 2020 Deep Learning Track., , , and . TREC, volume 1266 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2020)The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models., , , , , , , and . EMNLP, page 4163-4181. Association for Computational Linguistics, (2022)