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Retrieve-and-Fill for Scenario-based Task-Oriented Semantic Parsing., , , , , , and . EACL, page 430-447. Association for Computational Linguistics, (2023)Muppet: Massive Multi-task Representations with Pre-Finetuning., , , , , and . EMNLP (1), page 5799-5811. Association for Computational Linguistics, (2021)Privately Customizing Prefinetuning to Better Match User Data in Federated Learning., , , , , , and . CoRR, (2023)ICASSP 2023 Spoken Language Understanding Grand Challenge., , , , , , , , , and . ICASSP, page 1-2. IEEE, (2023)Introducing Semantics into Speech Encoders., , , , , , , , , and 4 other author(s). ACL (1), page 11413-11429. Association for Computational Linguistics, (2023)Non-Autoregressive Semantic Parsing for Compositional Task-Oriented Dialog., , , , , and . NAACL-HLT, page 2969-2978. Association for Computational Linguistics, (2021)Better Fine-Tuning by Reducing Representational Collapse., , , , , and . ICLR, OpenReview.net, (2021)iSeqL: interactive sequence learning, and . Proceedings of the 25th International Conference on Intelligent User Interfaces, page 43-54. ACM, (March 2020)Modality Confidence Aware Training for Robust End-to-End Spoken Language Understanding., , , , , and . INTERSPEECH, page 1119-1123. ISCA, (2023)Treepiece: Faster Semantic Parsing via Tree Tokenization., , and . EMNLP (Findings), page 11082-11092. Association for Computational Linguistics, (2023)