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Learning towards Abstractive Timeline Summarization., , , , , и . IJCAI, стр. 4939-4945. ijcai.org, (2019)Decomposing Vision-based LLM Predictions for Auto-Evaluation with GPT-4., , , , , , , , , и . CoRR, (2024)A Multi-Agent Conversational Recommender System., , , , , и . CoRR, (2024)Follow the Timeline! Generating Abstractive and Extractive Timeline Summary in Chronological Order., , , , , , , и . CoRR, (2023)Modeling Personalization in Continuous Space for Response Generation via Augmented Wasserstein Autoencoders., , , , , , и . EMNLP/IJCNLP (1), стр. 1931-1940. Association for Computational Linguistics, (2019)Scientific Paper Extractive Summarization Enhanced by Citation Graphs., , , , , и . EMNLP, стр. 4053-4062. Association for Computational Linguistics, (2022)Target-aware Abstractive Related Work Generation with Contrastive Learning., , , , , , и . SIGIR, стр. 373-383. ACM, (2022)RPM-Oriented Query Rewriting Framework for E-commerce Keyword-Based Sponsored Search (Student Abstract)., , , , , , , и . AAAI, стр. 13769-13770. AAAI Press, (2020)Learning towards Selective Data Augmentation for Dialogue Generation., , , , , , , , и . AAAI, стр. 12673-12681. AAAI Press, (2023)HeteroQA: Learning towards Question-and-Answering through Multiple Information Sources via Heterogeneous Graph Modeling., , , , , , и . WSDM, стр. 307-315. ACM, (2022)