| Deep Keyphrase Generation R Meng, S Zhao, S Han, D He, P Brusilovsky, Y Chi ACL 2017 1, 582, 2017 | 441 | 2017 |
| Integrating Transformer and Paraphrase Rules for Sentence Simplification S Zhao, R Meng, D He, S Andi, P Bambang EMNLP 2018, 2018 | 153 | 2018 |
| One Size Does Not Fit All: Generating and Evaluating Variable Number of Keyphrases X Yuan, T Wang, R Meng, K Thaker, P Brusilovsky, D He, A Trischler ACL 2020, 2018 | 125* | 2018 |
| A Deep Scientific Literature Mining-Oriented Framework for Citation Content Annotation W Lu, R Meng, X Liu Journal of Library Science in China 40 (6), 93-104, 2014 | 43* | 2014 |
| Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents R Meng, K Thaker, L Zhang, Y Dong, X Yuan, T Wang, D He ACL 2021, 2021 | 41 | 2021 |
| An Empirical Study on Neural Keyphrase Generation R Meng, X Yuan, T Wang, S Zhao, A Trischler, D He NAACL 2021, 2020 | 41 | 2020 |
| Unsupervised deep keyphrase generation X Shen, Y Wang, R Meng, J Shang Proceedings of the AAAI Conference on Artificial Intelligence 36 (10), 11303 …, 2022 | 21 | 2022 |
| Does Order Matter? An Empirical Study on Generating Multiple Keyphrases as a Sequence R Meng, X Yuan, T Wang, P Brusilovsky, A Trischler, D He arXiv preprint arXiv:1909.03590, 2019 | 20 | 2019 |
| Knowledge-based Content Linking for Online Textbooks R Meng, S Han, Y Huang, D He, P Brusilovsky Web Intelligence (WI), 2016 IEEE/WIC/ACM International Conference on, 18-25, 2016 | 18 | 2016 |
| SFR-Embedding-Mistral:Enhance Text Retrieval with Transfer Learning R Meng, Y Liu, SR Joty, C Xiong, Y Zhou, S Yavuz https://blog.salesforceairesearch.com/sfr-embedded-mistral/, 2024 | 16 | 2024 |
| Exploring Knowledge Learning in Collaborative Information Seeking Process. Y Chi, S Han, D He, R Meng SAL@ SIGIR, 2016 | 16 | 2016 |
| Retrieval-augmented multilingual keyphrase generation with retriever-generator iterative training Y Gao, Q Yin, Z Li, R Meng, T Zhao, B Yin, I King, MR Lyu arXiv preprint arXiv:2205.10471, 2022 | 15 | 2022 |
| Uni-parser: Unified semantic parser for question answering on knowledge base and database Y Liu, S Yavuz, R Meng, D Radev, C Xiong, Y Zhou arXiv preprint arXiv:2211.05165, 2022 | 14 | 2022 |
| Xgen-7b technical report E Nijkamp, T Xie, H Hayashi, B Pang, C Xia, C Xing, J Vig, S Yavuz, ... arXiv preprint arXiv:2309.03450, 2023 | 13 | 2023 |
| Long sequence modeling with xgen: A 7b llm trained on 8k input sequence length E Nijkamp, T Xie, H Hayashi, B Pang, C Xia, C Xing, J Vig, S Yavuz, ... Salesforce AI Research Blog, 2023 | 13 | 2023 |
| Automatic classification of citation function by new linguistic features R Meng, W Lu, Y Chi, S Han IConference 2017 Proceedings, 826-830, 2017 | 13 | 2017 |
| General-to-specific transfer labeling for domain adaptable keyphrase generation R Meng, T Wang, X Yuan, Y Zhou, D He arXiv preprint arXiv:2208.09606, 2022 | 8 | 2022 |
| Exploring the integration strategies of retriever and large language models Y Liu, S Yavuz, R Meng, M Moorthy, S Joty, C Xiong, Y Zhou arXiv preprint arXiv:2308.12574, 2023 | 5 | 2023 |
| Dialogstudio: Towards richest and most diverse unified dataset collection for conversational ai J Zhang, K Qian, Z Liu, S Heinecke, R Meng, Y Liu, Z Yu, S Savarese, ... arXiv preprint arXiv:2307.10172, 2023 | 5 | 2023 |
| Answering complex questions over text by hybrid question parsing and execution Y Liu, S Yavuz, R Meng, D Radev, C Xiong, Y Zhou arXiv preprint arXiv:2305.07789, 2023 | 5 | 2023 |
He DaqingProfessor, School of Computing and Information, University of Pittsburgh在 pitt.edu 的电子邮件经过验证
