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Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation.

, , , , , , и . ACL/IJCNLP (Findings), том ACL/IJCNLP 2021 из Findings of ACL, стр. 4831-4843. Association for Computational Linguistics, (2021)

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Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework., , , , , , , , , и . CoRR, (2022)Self-Evolved Diverse Data Sampling for Efficient Instruction Tuning., , , , , и . CoRR, (2023)Connecting Language and Vision for Natural Language-Based Vehicle Retrieval., , , , , , , и . CVPR Workshops, стр. 4034-4043. Computer Vision Foundation / IEEE, (2021)A Deep Reinforced Sequence-to-Set Model for Multi-Label Classification., , , , и . ACL (1), стр. 5252-5258. Association for Computational Linguistics, (2019)Sketch and Refine: Towards Faithful and Informative Table-to-Text Generation., , , , , , и . ACL/IJCNLP (Findings), том ACL/IJCNLP 2021 из Findings of ACL, стр. 4831-4843. Association for Computational Linguistics, (2021)Global Encoding for Abstractive Summarization., , , и . ACL (2), стр. 163-169. Association for Computational Linguistics, (2018)Semantic-Unit-Based Dilated Convolution for Multi-Label Text Classification., , , , и . EMNLP, стр. 4554-4564. Association for Computational Linguistics, (2018)Towards Knowledge-Based Personalized Product Description Generation in E-commerce., , , , , и . KDD, стр. 3040-3050. ACM, (2019)ExpertPrompting: Instructing Large Language Models to be Distinguished Experts., , , , , , и . CoRR, (2023)CogView: Mastering Text-to-Image Generation via Transformers., , , , , , , , , и 1 other автор(ы). NeurIPS, стр. 19822-19835. (2021)