| Fantastically ordered prompts and where to find them: Overcoming few-shot prompt order sensitivity Y Lu, M Bartolo, A Moore, S Riedel, P Stenetorp ACL, 2022 | 983 | 2022 |
| Distilling Task-Specific Knowledge from BERT into Simple Neural Networks R Tang*, Y Lu*, L Liu*, L Mou, O Vechtomova, J Lin arXiv preprint arXiv:1903.12136, 2019 | 471 | 2019 |
| Generative Adversarial Network for Abstractive Text Summarization L Liu, Y Lu, M Yang, Q Qu, J Zhu, H Li AAAI Conference on Artificial Intelligence, 2018 | 226 | 2018 |
| Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles Y Lu, Y Dong, L Charlin EMNLP, 2020 | 107 | 2020 |
| Coliee-2018: Evaluation of the competition on legal information extraction and entailment Y Kano, MY Kim, M Yoshioka, Y Lu, J Rabelo, N Kiyota, R Goebel, ... New Frontiers in Artificial Intelligence: JSAI-isAI 2018 Workshops, JURISIN …, 2019 | 52 | 2019 |
| Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction R Schumann, L Mou, Y Lu, O Vechtomova, K Markert ACL, 2020 | 49 | 2020 |
| Detecting" Smart" Spammers On Social Network: A Topic Model Approach L Liu, Y Lu, Y Luo, R Zhang, L Itti, J Lu NAACL Student Research Workshop, 2016 | 47 | 2016 |
| Plausibility-promoting generative adversarial network for abstractive text summarization with multi-task constraint M Yang, X Wang, Y Lu, J Lv, Y Shen, C Li Information Sciences 521, 46-61, 2020 | 41 | 2020 |
| Natural language generation for effective knowledge distillation R Tang, Y Lu, J Lin Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource …, 2019 | 35 | 2019 |
| Legal question answering using paraphrasing and entailment analysis MY Kim, Y Xu, Y Lu, R Goebel Tenth International Workshop on Juris-informatics (JURISIN), 2016 | 22* | 2016 |
| A Multi-task Learning Framework for Abstractive Text Summarization Y Lu, L Liu, Z Jiang, M Yang, R Goebel AAAI Conference on Artificial Intelligence, 2019 | 11 | 2019 |
| Textual entailment in legal bar exam question answering using deep siamese networks MY Kim, Y Lu, R Goebel New Frontiers in Artificial Intelligence: JSAI-isAI Workshops, JURISIN, SKL …, 2018 | 7 | 2018 |
| Coliee-2018: Evaluation of the competition on case law information extraction and entailment MY Kim, Y Lu, J Rabelo, R Goebel Proceedings of the Twelfth International Workshop on Juris-informatics …, 2018 | 6 | 2018 |
| AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African Languages J Wang, DI Adelani, ..., Y Lu, P Stenetorp NAACL, 2023 | 5* | 2023 |
| Strings from the Library of Babel: Random Sampling as a Strong Baseline for Prompt Optimisation Y Lu, J Wang, R Tang, S Riedel, P Stenetorp NAACL, 2024 | 2* | 2024 |
| Multilingual Pretraining Using a Large Corpus Machine-Translated from a Single Source Language J Wang*, Y Lu*, M Weber, M Ryabinin, Y Chen, R Tang, P Stenetorp arXiv preprint arXiv:2410.23956, 2024 | | 2024 |
| Jet Expansions of Residual Computation Y Chen, X Xu, Y Lu, P Stenetorp, L Franceschi arXiv preprint arXiv:2410.06024, 2024 | | 2024 |
| Words Worth a Thousand Pictures: Measuring and Understanding Perceptual Variability in Text-to-Image Generation R Tang, X Zhang, L Xu, Y Lu, W Li, P Stenetorp, J Lin, F Ture EMNLP, 2024 | | 2024 |
Raphael TangStealth AI Startup, University of Waterloo確認したメール アドレス: uwaterloo.ca
