Who cites «Text-to-Text Pre-Training for Data-to-Text Tasks»
- mT5: A Massively Multilingual Pre-trained Text-to-Text TransformerConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Linting Xue, Noah Constant, Adam Roberts, et al.2021 · 3,226 citations
- Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A SurveyACM Computing SurveysBonan Min, Hayley Ross, Elior Sulem, et al.2021 · 1,556 citations
- Unifying Large Language Models and Knowledge Graphs: A RoadmapIEEE Transactions on Knowledge and Data EngineeringShirui Pan, Linhao Luo, Yufei Wang, et al.2023 · 1,551 citations
- UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Tianbao Xie, Chen Henry Wu, Peng Shi, et al.2022 · 407 citations
- Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-trainingConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Oshin Agarwal, Heming Ge, Siamak Shakeri, et al.2021 · 239 citations
- DART: Open-Domain Structured Data Record to Text GenerationarXiv:2007.02871Linyong Nan, Dragomir Radev, Rui Zhang, et al.2020 · 161 citations
- Investigating Pretrained Language Models for Graph-to-Text GenerationWorkshop on Natural Language Processing for Conversational AILeonardo F. R. Ribeiro, Martin Schmitt, Hinrich Schütze, et al.2021 · 151 citations
- IndicBART: A Pre-trained Model for Indic Natural Language GenerationFindings of the Association for Computational LinguisticsRaj Dabre, Himani Shrotriya, Anoop Kunchukuttan, et al.2022 · 141 citations
- Understanding Transformer Memorization Recall Through IdiomsConference of the European Chapter of the Association for Computational Linguistics (EACL)Adi Haviv, Ido Cohen, Jacob Gidron, et al.2023 · 62 citations
- The Iron(ic) Melting Pot: Reviewing Human Evaluation in Humour, Irony and Sarcasm GenerationFindings of the Association for Computational LinguisticsTyler Loakman, Aaron Maladry, Chenghua Lin2023 · 19 citations
- Improving Cross-lingual Transfer through Subtree-aware Word ReorderingFindings of the Association for Computational LinguisticsOfir Arviv, Dmitry Nikolaev, Taelin Karidi, et al.2023 · 4 citations
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