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Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel Selection., , , , , и . NAACL-HLT, стр. 5976-5996. Association for Computational Linguistics, (2024)Nearest Neighbour Few-Shot Learning for Cross-lingual Classification., , и . EMNLP (1), стр. 1745-1753. Association for Computational Linguistics, (2021)Injecting Domain Knowledge in Language Models for Task-oriented Dialogue Systems., , , , и . EMNLP, стр. 11962-11974. Association for Computational Linguistics, (2022)Label Semantic Aware Pre-training for Few-shot Text Classification., , , , , , и . ACL (1), стр. 8318-8334. Association for Computational Linguistics, (2022)MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets., , , , , , , , , и . CoRR, (2024)MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets., , , , , , , , , и . NAACL-HLT, стр. 5150-5167. Association for Computational Linguistics, (2024)FLAP: Flow-Adhering Planning with Constrained Decoding in LLMs., , , , и . NAACL-HLT, стр. 517-539. Association for Computational Linguistics, (2024)NatCS: Eliciting Natural Customer Support Dialogues., , , , , и . ACL (Findings), стр. 9652-9677. Association for Computational Linguistics, (2023)Robustification of Multilingual Language Models to Real-world Noise in Crosslingual Zero-shot Settings with Robust Contrastive Pretraining., , , , и . EACL, стр. 1367-1383. Association for Computational Linguistics, (2023)Enhancing Abstractiveness of Summarization Models through Calibrated Distillation., , , , , и . EMNLP (Findings), стр. 7026-7036. Association for Computational Linguistics, (2023)