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Improving Semantic Matching through Dependency-Enhanced Pre-trained Model with Adaptive Fusion., , , , , , , и . EMNLP (Findings), стр. 45-57. Association for Computational Linguistics, (2022)PATS: Sensitivity-aware Noisy Learning for Pretrained Language Models., , , , и . EMNLP, стр. 3680-3687. Association for Computational Linguistics, (2022)Pay Attention to Implicit Attribute Values: A Multi-modal Generative Framework for AVE Task., , , , , , , и . ACL (Findings), стр. 13139-13151. Association for Computational Linguistics, (2023)Table Fact Verification with Structure-Aware Transformer., , , , , и . EMNLP (1), стр. 1624-1629. Association for Computational Linguistics, (2020)Not All Contexts Are Equal: Teaching LLMs Credibility-aware Generation., , , , , , , и . CoRR, (2024)ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer., , , , , и . ACL/IJCNLP (1), стр. 5065-5075. Association for Computational Linguistics, (2021)TOCOL: Improving Contextual Representation of Pre-trained Language Models via Token-Level Contrastive Learning., , , , , , и . DSAA, стр. 1-3. IEEE, (2023)Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQA., , , , , и . CIKM, стр. 3854-3859. ACM, (2023)Leveraging Historical Interaction Data for Improving Conversational Recommender System., , , , , , и . CIKM, стр. 2349-2352. ACM, (2020)Let Me Check the Examples: Enhancing Demonstration Learning via Explicit Imitation., , , , и . CoRR, (2022)