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Challenges and Opportunities in Understanding Spoken Queries Directed at Modern Entertainment Platforms.

, , , and . SIGIR, page 1375-1376. ACM, (2019)

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Deep Residual Learning for Small-Footprint Keyword Spotting., and . CoRR, (2017)An Experimental Analysis of the Power Consumption of Convolutional Neural Networks for Keyword Spotting., , , and . ICASSP, page 5479-5483. IEEE, (2018)Distilling Task-Specific Knowledge from BERT into Simple Neural Networks., , , , , and . CoRR, (2019)Found in the Middle: Permutation Self-Consistency Improves Listwise Ranking in Large Language Models., , , , and . CoRR, (2023)Operator Selection and Ordering in a Pipeline Approach to Efficiency Optimizations for Transformers., , , , and . ACL (Findings), page 2870-2882. Association for Computational Linguistics, (2023)How Does BERT Rerank Passages? An Attribution Analysis with Information Bottlenecks., , , and . BlackboxNLP@EMNLP, page 496-509. Association for Computational Linguistics, (2021)Challenges and Opportunities in Understanding Spoken Queries Directed at Modern Entertainment Platforms., , , and . SIGIR, page 1375-1376. ACM, (2019)Voice Query Auto Completion., , , , , , , , , and 1 other author(s). EMNLP (1), page 900-906. Association for Computational Linguistics, (2021)Progress and Tradeoffs in Neural Language Models., and . CoRR, (2018)Deep Residual Learning for Small-Footprint Keyword Spotting., and . ICASSP, page 5484-5488. IEEE, (2018)