| Sources of Hallucination by Large Language Models on Inference Tasks N McKenna, T Li, L Cheng, MJ Hosseini, M Johnson, M Steedman Findings of EMNLP 2023, 2023 | 81 | 2023 |
| Task-specific pre-training and prompt decomposition for knowledge graph population with language models T Li, W Huang, N Papasarantopoulos, P Vougiouklis, JZ Pan arXiv preprint arXiv:2208.12539, 2022 | 9 | 2022 |
| Smoothing entailment graphs with language models N McKenna, T Li, M Johnson, M Steedman AACL 2023, 2022 | 9 | 2022 |
| Language models are poor learners of directional inference T Li, MJ Hosseini, S Weber, M Steedman Findings of EMNLP 2022, 2022 | 7 | 2022 |
| Cross-lingual Inference with A Chinese Entailment Graph T Li, S Weber, MJ Hosseini, L Guillou, M Steedman Findings of ACL 2022, 2022 | 7 | 2022 |
| Incorporating textual evidence in visual storytelling T Li, S Li arXiv preprint arXiv:1911.09334, 2019 | 3 | 2019 |
| Refining data for text generation Q Liu, T Li, W Guan, S Li Chinese Computational Linguistics: 19th China National Conference, CCL 2020 …, 2020 | 2 | 2020 |
| A Usage-centric Take on Intent Understanding in E-Commerce W Zhou, T Li, P Vougiouklis, M Steedman, JZ Pan arXiv preprint arXiv:2402.14901, 2024 | | 2024 |
| Align-then-Enhance: Entailment Graph Enhancement with Soft Predicate Alignment Y Wu, Y Hu, Y Feng, T Li, M Steedman, D Zhao 61st Annual Meeting of the Association for Computational Linguistics, 881-894, 2023 | | 2023 |
| Semi-Automatic Construction of Text-to-SQL Data for Domain Transfer T Li, S Li, M Steedman Proceedings of the 17th International Conference on Parsing Technologies and …, 2021 | | 2021 |
Mark SteedmanProfessor of Cognitive Science, School of Informatics, University of EdinburghVerified email at inf.ed.ac.uk
