Paraphrasing with large language models S Witteveen, M Andrews arXiv preprint arXiv:1911.09661, 2019 | 113 | 2019 |
Investigating prompt engineering in diffusion models S Witteveen, M Andrews arXiv preprint arXiv:2211.15462, 2022 | 51 | 2022 |
Transformer to CNN: Label-scarce distillation for efficient text classification YK Chia, S Witteveen, M Andrews arXiv preprint arXiv:1909.03508, 2019 | 42 | 2019 |
Red dragon ai at textgraphs 2019 shared task: Language model assisted explanation generation YK Chia, S Witteveen, M Andrews arXiv preprint arXiv:1911.08976, 2019 | 20 | 2019 |
Scene graph parsing by attention graph M Andrews, YK Chia, S Witteveen arXiv preprint arXiv:1909.06273, 2019 | 9 | 2019 |
Red Dragon AI at TextGraphs 2020 Shared Task: LIT: LSTM-Interleaved Transformer for Multi-Hop Explanation Ranking YK Chia, S Witteveen, M Andrews arXiv preprint arXiv:2012.14164, 2020 | 4 | 2020 |
Unsupervised natural question answering with a small model M Andrews, S Witteveen arXiv preprint arXiv:1911.08340, 2019 | 3 | 2019 |
Textgraphs-15 Shared Task System Description: Multi-Hop Inference Explanation Regeneration by Matching Expert Ratings SV Kalyan, S Witteveen, M Andrews Proceedings of the Fifteenth Workshop on Graph-Based Methods for Natural …, 2021 | 2 | 2021 |
Transformer to CNN: Improved text classification for edge devices YK Chia, S Witteveen, M Andrews Proc. 32th Conference on Neural Information Processing Systems, 2018 | 1 | 2018 |
Proving that Cryptic Crossword Clue Answers are Correct M Andrews, S Witteveen arXiv preprint arXiv:2407.08824, 2024 | | 2024 |
Red Dragon AI at TextGraphs 2021 Shared Task: Multi-Hop Inference Explanation Regeneration by Matching Expert Ratings V Kalyan, S Witteveen, M Andrews arXiv preprint arXiv:2107.13031, 2021 | | 2021 |
Relationships from Entity Stream M Andrews, S Witteveen arXiv preprint arXiv:1909.03315, 2019 | | 2019 |
Building, growing and sustaining ML communities M Andrews, S Witteveen | | 2018 |