| 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, 2021 | 409 | 2021 |
| 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 | 377 | 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 | 202 | 2018 |
| Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles Y Lu, Y Dong, L Charlin EMNLP, 2020 | 63 | 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, ... JSAI International Symposium on Artificial Intelligence, 177-192, 2018 | 48* | 2018 |
| 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 | 45 | 2016 |
| Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction R Schumann, L Mou, Y Lu, O Vechtomova, K Markert ACL, 2020 | 37 | 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 | 30 | 2019 |
| 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 | 29 | 2020 |
| Legal question answering using paraphrasing and entailment analysis MY Kim, Y Xu, Y Lu, R Goebel Tenth International Workshop on Juris-informatics (JURISIN), 2016 | 20* | 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 | 10 | 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 | 6 | 2018 |
| Prompt Optimisation with Random Sampling Y Lu, J Wang, S Riedel, P Stenetorp arXiv preprint arXiv:2311.09569, 2023 | | 2023 |
Raphael TangComcast Applied AI, University of WaterlooVerified email at uwaterloo.ca
