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Dialogue Summaries as Dialogue States (DS2), Template-Guided Summarization for Few-shot Dialogue State Tracking., , , , и . ACL (Findings), стр. 3824-3846. Association for Computational Linguistics, (2022)EvalLM: Interactive Evaluation of Large Language Model Prompts on User-Defined Criteria., , , , и . CHI, стр. 306:1-306:21. ACM, (2024)Attention over Parameters for Dialogue Systems., , , , и . CoRR, (2020)Revealing User Familiarity Bias in Task-Oriented Dialogue via Interactive Evaluation., , , , и . CoRR, (2023)Hierarchical Meta-Embeddings for Code-Switching Named Entity Recognition., , , , и . EMNLP/IJCNLP (1), стр. 3539-3545. Association for Computational Linguistics, (2019)Tracing Knowledge for Tracing Dropouts: Multi-Task Training for Study Session Dropout Prediction., , , и . EDM, International Educational Data Mining Society, (2021)The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning., , , , , , и . EMNLP, стр. 12685-12708. Association for Computational Linguistics, (2023)HappyBot: Generating Empathetic Dialogue Responses by Improving User Experience Look-ahead., , , и . CoRR, (2019)CAiRE_HKUST at SemEval-2019 Task 3: Hierarchical Attention for Dialogue Emotion Classification., , , , , , и . SemEval@NAACL-HLT, стр. 142-147. Association for Computational Linguistics, (2019)On the Effectiveness of Low-Rank Matrix Factorization for LSTM Model Compression., , , , и . CoRR, (2019)