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Transforming Visual Scene Graphs to Image Captions., , , , , , , , , и . ACL (1), стр. 12427-12440. Association for Computational Linguistics, (2023)S$^4$-Tuning: A Simple Cross-lingual Sub-network Tuning Method., , , , и . ACL (2), стр. 530-537. Association for Computational Linguistics, (2022)Speech-Text Pre-training for Spoken Dialog Understanding with Explicit Cross-Modal Alignment., , , , , , , , и . ACL (1), стр. 7900-7913. Association for Computational Linguistics, (2023)HyPe: Better Pre-trained Language Model Fine-tuning with Hidden Representation Perturbation., , , , и . ACL (1), стр. 3246-3264. Association for Computational Linguistics, (2023)OntoED: Low-resource Event Detection with Ontology Embedding., , , , , , , и . ACL/IJCNLP (1), стр. 2828-2839. Association for Computational Linguistics, (2021)RT-P2P: A Scalable Real-Time Peer-to-Peer System with Probabilistic Timing Assurances., , и . EUC (1), стр. 97-103. IEEE Computer Society, (2008)Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners., , , , , , , и . ICLR, OpenReview.net, (2022)Preview, Attend and Review: Schema-Aware Curriculum Learning for Multi-Domain Dialog State Tracking., , , , , , и . CoRR, (2021)Proton: Probing Schema Linking Information from Pre-trained Language Models for Text-to-SQL Parsing., , , , , , , , , и 1 other автор(ы). KDD, стр. 1889-1898. ACM, (2022)Bridging the Domain Gap: Improve Informal Language Translation via Counterfactual Domain Adaptation., , , , и . AAAI, стр. 13970-13978. AAAI Press, (2021)