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Transformers are Multi-State RNNs., , , and . CoRR, (2024)More than Words: In-the-Wild Visually-Driven Prosody for Text-to-Speech., , , , , and . CVPR, page 10577-10587. IEEE, (2022)Textually Pretrained Speech Language Models., , , , , , , , , and 2 other author(s). CoRR, (2023)How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers., , , , , , and . EMNLP (Findings), page 1403-1416. Association for Computational Linguistics, (2022)Finding the SWEET Spot: Analysis and Improvement of Adaptive Inference in Low Resource Settings., , , and . ACL (1), page 14836-14851. Association for Computational Linguistics, (2023)More than Words: In-the-Wild Visually-Driven Prosody for Text-to-Speech., , , , , and . CoRR, (2021)Efficient Methods for Natural Language Processing: A Survey., , , , , , , , , and 8 other author(s). CoRR, (2022)EXPRESSO: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis., , , , , , , , , and 3 other author(s). CoRR, (2023)