Codebert: A pre-trained model for programming and natural languages Z Feng, D Guo, D Tang, N Duan, X Feng, M Gong, L Shou, B Qin, T Liu, ... Findings of EMNLP 2020, 2020 | 2962 | 2020 |
Effective LSTMs for target-dependent sentiment classification D Tang, B Qin, X Feng, T Liu Proceedings of COLING 2016, the 26th International Conference on …, 2016 | 1457 | 2016 |
A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions L Huang, W Yu, W Ma, W Zhong, Z Feng, H Wang, Q Chen, W Peng, ... TOIS, 2023 | 886 | 2023 |
A language-independent neural network for event detection X Feng, B Qin, T Liu Science China Information Sciences 61, 1-12, 2018 | 345 | 2018 |
Liberal event extraction and event schema induction L Huang, T Cassidy, X Feng, H Ji, C Voss, J Han, A Sil Proceedings of the 54th Annual Meeting of the Association for Computational …, 2016 | 167 | 2016 |
Effective Deep Memory Networks for Distant Supervised Relation Extraction. X Feng, J Guo, B Qin, T Liu, Y Liu IJCAI 17, 1-7, 2017 | 138 | 2017 |
The factual inconsistency problem in abstractive text summarization: A survey Y Huang, X Feng, X Feng, B Qin arXiv preprint arXiv:2104.14839, 2021 | 113 | 2021 |
A survey on dialogue summarization: Recent advances and new frontiers X Feng, X Feng, B Qin IJCAI 2022, 2021 | 104 | 2021 |
Dialogue discourse-aware graph convolutional networks for abstractive meeting summarization X Feng, X Feng, B Qin, X Geng, T Liu IJCAI 2021 17, 2020 | 103* | 2020 |
Semantic parsing with syntax-and table-aware sql generation Y Sun, D Tang, N Duan, J Ji, G Cao, X Feng, B Qin, T Liu, M Zhou ACL 2018, 2018 | 103 | 2018 |
Language model as an annotator: Exploring DialoGPT for dialogue summarization X Feng, X Feng, L Qin, B Qin, T Liu ACL 2021, 2021 | 94 | 2021 |
Tablegpt: Few-shot table-to-text generation with table structure reconstruction and content matching H Gong, Y Sun, X Feng, B Qin, W Bi, X Liu, T Liu Proceedings of the 28th International Conference on Computational …, 2020 | 93 | 2020 |
Improving Low Resource Named Entity Recognition using Cross-lingual Knowledge Transfer. X Feng, X Feng, B Qin, Z Feng, T Liu IJCAI 1, 4071-4077, 2018 | 85 | 2018 |
Topic-to-essay generation with neural networks. X Feng, M Liu, J Liu, B Qin, Y Sun, T Liu IJCAI, 4078-4084, 2018 | 85 | 2018 |
Table-to-text generation with effective hierarchical encoder on three dimensions (row, column and time) H Gong, X Feng, B Qin, T Liu EMNLP 2019, 2019 | 65 | 2019 |
Incorporating commonsense knowledge into abstractive dialogue summarization via heterogeneous graph networks X Feng, X Feng, B Qin China National Conference on Chinese Computational Linguistics, 127-142, 2021 | 57 | 2021 |
Retrieval-generation synergy augmented large language models Z Feng, X Feng, D Zhao, M Yang, B Qin ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 50 | 2024 |
Joint learning of question answering and question generation Y Sun, D Tang, N Duan, T Qin, S Liu, Z Yan, M Zhou, Y Lv, W Yin, X Feng, ... IEEE Transactions on Knowledge and Data Engineering 32 (5), 971-982, 2019 | 48 | 2019 |
Trends in integration of knowledge and large language models: A survey and taxonomy of methods, benchmarks, and applications Z Feng, W Ma, W Yu, L Huang, H Wang, Q Chen, W Peng, X Feng, B Qin arXiv preprint arXiv:2311.05876, 2023 | 36 | 2023 |
Enhancing neural data-to-text generation models with external background knowledge S Chen, J Wang, X Feng, F Jiang, B Qin, CY Lin Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 35 | 2019 |