| Text Summarization with Pretrained Encoders Y Liu, M Lapata EMNLP 2019, 2019 | 1428 | 2019 |
| Fine-tune BERT for Extractive Summarization Y Liu https://arxiv.org/abs/1903.10318, 2019 | 471 | 2019 |
| Hierarchical Transformers for Multi-Document Summarization Y Liu, M Lapata ACL 2019, 2019 | 324 | 2019 |
| A dependency-based neural network for relation classification Y Liu, F Wei, S Li, H Ji, M Zhou, H Wang ACL 2015, 2015 | 287 | 2015 |
| A novel neural topic model and its supervised extension Z Cao, S Li, Y Liu, W Li, H Ji AAAI 2015, 2015 | 171 | 2015 |
| Learning structured text representations Y Liu, M Lapata Transactions of the Association for Computational Linguistics 6, 63-75, 2018 | 161 | 2018 |
| Implicit discourse relation classification via multi-task neural networks Y Liu, S Li, X Zhang, Z Sui AAAI 2016, 2016 | 140 | 2016 |
| QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization M Zhong, D Yin, T Yu, A Zaidi, M Mutuma, R Jha, AH Awadallah, ... NAACL 2021, 2021 | 123 | 2021 |
| DialSumm: A Real-Life Scenario Dialogue Summarization Dataset Y Chen, Y Liu, L Chen, Y Zhang ACL 2021, 2021 | 100 | 2021 |
| Single Document Summarization as Tree Induction Y Liu, I Titov, M Lapata NAACL 2019, 2019 | 97 | 2019 |
| Recognizing Implicit Discourse Relations via Repeated Reading: Neural Networks with Multi-Level Attention Y Liu, S Li EMNLP 2016, 2016 | 94 | 2016 |
| MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization C Zhu, Y Liu, J Mei, M Zeng NAACL 2021, 2021 | 86 | 2021 |
| Want To Reduce Labeling Cost? GPT-3 Can Help S Wang, Y Liu, Y Xu, C Zhu, M Zeng EMNLP 2021, 2021 | 71 | 2021 |
| GPTEval: NLG Evaluation using GPT-4 with Better Human Alignment Y Liu, D Iter, Y Xu, S Wang, R Xu, C Zhu arXiv preprint arXiv:2303.16634, 2023 | 70 | 2023 |
| DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization M Zhong, Y Liu, Y Xu, C Zhu, M Zeng AAAI 2022, 2021 | 64 | 2021 |
| Fusing Context Into Knowledge Graph for Commonsense Reasoning Y Xu, C Zhu, R Xu, Y Liu, M Zeng, X Huang ACL 2021, 2020 | 55* | 2020 |
| Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data S Wang, Y Xu, Y Fang, Y Liu, S Sun, R Xu, C Zhu, M Zeng ACL 2022, 2022 | 53 | 2022 |
| Generating Summaries with Topic Templates and Structured Convolutional Decoders L Perez-Beltrachini, Y Liu, M Lapata ACL 2019, 2019 | 36 | 2019 |
| Learning contextually informed representations for linear-time discourse parsing Y Liu, M Lapata EMNLP 2017, 2017 | 35 | 2017 |
| Towards a Unified Multi-Dimensional Evaluator for Text Generation M Zhong, Y Liu, D Yin, Y Mao, Y Jiao, P Liu, C Zhu, H Ji, J Han EMNLP 2022, 2022 | 30 | 2022 |
Chenguang ZhuLead AI Research Scientist at ZoomVerified email at microsoft.com
