| 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 | 124 | 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 | 83 | 2018 |
| Bridging the Gap Between Relevance Matching and Semantic Matching for Short Text Similarity Modeling J Rao, L Liu, Y Tay, W Yang, P Shi, J Lin EMNLP, 2019 | 25 | 2019 |
| Detecting" Smart" Spammers On Social Network: A Topic Model Approach L Liu, Y Lu, Y Luo, R Zhang, L Itti, J Lu Proceedings of the NAACL Student Research Workshop, 2016 | 21 | 2016 |
| MKD: a Multi-Task Knowledge Distillation Approach for Pretrained Language Models L Liu, H Wang, J Lin, R Socher, C Xiong arXiv preprint arXiv:1911.03588, 2019 | 17* | 2019 |
| Scalable content-based analysis of images in web archives with TensorFlow and the archives unleashed toolkit HW Yang, L Liu, I Milligan, N Ruest, J Lin 2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL), 436-437, 2019 | 3 | 2019 |
| Incorporating Contextual and Syntactic Structures Improves Semantic Similarity Modeling L Liu, W Yang, J Rao, R Tang, J Lin EMNLP, 2019 | 3 | 2019 |
| NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned S Min, J Boyd-Graber, C Alberti, D Chen, E Choi, M Collins, K Guu, ... arXiv preprint arXiv:2101.00133, 2021 | 2 | 2021 |
| PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them P Lewis, Y Wu, L Liu, P Minervini, H Küttler, A Piktus, P Stenetorp, ... arXiv preprint arXiv:2102.07033, 2021 | 1 | 2021 |
Jimmy LinUniversity of WaterlooVerified email at uwaterloo.ca
