| Qwen technical report J Bai, S Bai, Y Chu, Z Cui, K Dang, X Deng, Y Fan, W Ge, Y Han, F Huang, ... arXiv preprint arXiv:2309.16609, 2023 | 1474 | 2023 |
| Qwen2 technical report A Yang, B Yang, B Hui, B Zheng, B Yu, C Zhou, C Li, C Li, D Liu, F Huang, ... arXiv preprint arXiv:2407.10671, 2024 | 495 | 2024 |
| TPLinker: Single-stage joint extraction of entities and relations through token pair linking Y Wang, B Yu, Y Zhang, T Liu, H Zhu, L Sun arXiv preprint arXiv:2010.13415, 2020 | 386 | 2020 |
| Joint Extraction of Entities and Relations Based on a Novel Decomposition Strategy B Yu, Z Zhang, X Shu arXiv preprint arXiv:1909.04273v3, 2019 | 230 | 2019 |
| Preference ranking optimization for human alignment F Song, B Yu, M Li, H Yu, F Huang, Y Li, H Wang Proceedings of the AAAI Conference on Artificial Intelligence 38 (17), 18990 …, 2024 | 175 | 2024 |
| Api-bank: A comprehensive benchmark for tool-augmented llms M Li, Y Zhao, B Yu, F Song, H Li, H Yu, Z Li, F Huang, Y Li arXiv preprint arXiv:2304.08244, 2023 | 172 | 2023 |
| Language models are super mario: Absorbing abilities from homologous models as a free lunch L Yu, B Yu, H Yu, F Huang, Y Li Forty-first International Conference on Machine Learning, 2024 | 138 | 2024 |
| Edge-enhanced graph convolution networks for event detection with syntactic relation S Cui, B Yu, T Liu, Z Zhang, X Wang, J Shi arXiv preprint arXiv:2002.10757, 2020 | 137 | 2020 |
| CasEE: A joint learning framework with cascade decoding for overlapping event extraction J Sheng, S Guo, B Yu, Q Li, Y Hei, L Wang, T Liu, H Xu arXiv preprint arXiv:2107.01583, 2021 | 74 | 2021 |
| Wider and deeper llm networks are fairer llm evaluators X Zhang, B Yu, H Yu, Y Lv, T Liu, F Huang, H Xu, Y Li arXiv preprint arXiv:2308.01862, 2023 | 71 | 2023 |
| Porous lattice transformer encoder for Chinese NER X Mengge, B Yu, T Liu, Y Zhang, E Meng, B Wang Proceedings of the 28th international conference on computational …, 2020 | 70 | 2020 |
| Beyond Word Attention: Using Segment Attention in Neural Relation Extraction. B Yu, Z Zhang, T Liu, B Wang, S Li, Q Li IJCAI, 5401-5407, 2019 | 68 | 2019 |
| Coarse-to-fine pre-training for named entity recognition M Xue, B Yu, Z Zhang, T Liu, Y Zhang, B Wang arXiv preprint arXiv:2010.08210, 2020 | 64 | 2020 |
| Document-level relation extraction with dual-tier heterogeneous graph Z Zhang, B Yu, X Shu, T Liu, H Tang, W Yubin, L Guo Proceedings of the 28th International Conference on Computational …, 2020 | 63 | 2020 |
| Polylm: An open source polyglot large language model X Wei, H Wei, H Lin, T Li, P Zhang, X Ren, M Li, Y Wan, Z Cao, B Xie, ... arXiv preprint arXiv:2307.06018, 2023 | 62 | 2023 |
| Few-shot event detection with prototypical amortized conditional random field X Cong, S Cui, B Yu, T Liu, Y Wang, B Wang arXiv preprint arXiv:2012.02353, 2020 | 61 | 2020 |
| Discontinuous named entity recognition as maximal clique discovery Y Wang, B Yu, H Zhu, T Liu, N Yu, L Sun arXiv preprint arXiv:2106.00218, 2021 | 52 | 2021 |
| A survey on neural open information extraction: Current status and future directions S Zhou, B Yu, A Sun, C Long, J Li, H Yu, J Sun, Y Li arXiv preprint arXiv:2205.11725, 2022 | 45 | 2022 |
| Towards universal cross-domain recommendation J Cao, S Li, B Yu, X Guo, T Liu, B Wang Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 42 | 2023 |
| Distilling knowledge from well-informed soft labels for neural relation extraction Z Zhang, X Shu, B Yu, T Liu, J Zhao, Q Li, L Guo Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 9620-9627, 2020 | 41 | 2020 |
Tingwen LiuFull Professor of Institute of Information Engineering, Chinese Academy of SciencesVerified email at iie.ac.cn
