| A survey on evaluation of large language models Y Chang, X Wang, J Wang, Y Wu, L Yang, K Zhu, H Chen, X Yi, C Wang, ... ACM transactions on intelligent systems and technology 15 (3), 1-45, 2024 | 2498 | 2024 |
| Deep learning for event-driven stock prediction. X Ding, Y Zhang, T Liu, J Duan Ijcai 15, 2327-2333, 2015 | 1116 | 2015 |
| Chinese NER using lattice LSTM Y Zhang, J Yang arXiv preprint arXiv:1805.02023, 2018 | 1111 | 2018 |
| Target-dependent twitter sentiment classification with rich automatic features. DT Vo, Y Zhang IJCAI, 1347-1353, 2015 | 461 | 2015 |
| Transition-based dependency parsing with rich non-local features Y Zhang, J Nivre Proceedings of the 49th annual meeting of the association for computational …, 2011 | 434 | 2011 |
| Template-based named entity recognition using BART L Cui, Y Wu, J Liu, S Yang, Y Zhang arXiv preprint arXiv:2106.01760, 2021 | 405 | 2021 |
| A tale of two parsers: Investigating and combining graph-based and transition-based dependency parsing Y Zhang, S Clark Proceedings of the 2008 Conference on Empirical Methods in Natural Language …, 2008 | 378 | 2008 |
| Using structured events to predict stock price movement: An empirical investigation X Ding, Y Zhang, T Liu, J Duan Proceedings of the 2014 conference on empirical methods in natural language …, 2014 | 352 | 2014 |
| Attention-based recurrent convolutional neural network for automatic essay scoring F Dong, Y Zhang, J Yang Proceedings of the 21st conference on computational natural language …, 2017 | 351 | 2017 |
| Gated neural networks for targeted sentiment analysis M Zhang, Y Zhang, DT Vo Proceedings of the AAAI conference on artificial intelligence 30 (1), 2016 | 333 | 2016 |
| Logiqa: A challenge dataset for machine reading comprehension with logical reasoning J Liu, L Cui, H Liu, D Huang, Y Wang, Y Zhang arXiv preprint arXiv:2007.08124, 2020 | 303 | 2020 |
| Sentence-state LSTM for text representation Y Zhang, Q Liu, L Song arXiv preprint arXiv:1805.02474, 2018 | 303 | 2018 |
| A graph-to-sequence model for AMR-to-text generation L Song, Y Zhang, Z Wang, D Gildea arXiv preprint arXiv:1805.02473, 2018 | 301 | 2018 |
| Attention modeling for targeted sentiment J Liu, Y Zhang Proceedings of the 15th Conference of the European Chapter of the …, 2017 | 277 | 2017 |
| Syntactic processing using the generalized perceptron and beam search Y Zhang, S Clark Computational linguistics 37 (1), 105-151, 2011 | 273 | 2011 |
| Fast and accurate shift-reduce constituent parsing M Zhu, Y Zhang, W Chen, M Zhang, J Zhu Proceedings of the 51st Annual Meeting of the Association for Computational …, 2013 | 269 | 2013 |
| Evaluating the logical reasoning ability of chatgpt and gpt-4 H Liu, R Ning, Z Teng, J Liu, Q Zhou, Y Zhang arXiv preprint arXiv:2304.03439, 2023 | 264 | 2023 |
| Promptbench: Towards evaluating the robustness of large language models on adversarial prompts K Zhu, J Wang, J Zhou, Z Wang, H Chen, Y Wang, L Yang, W Ye, Y Zhang, ... arXiv e-prints, arXiv: 2306.04528, 2023 | 263 | 2023 |
| An empirical study of catastrophic forgetting in large language models during continual fine-tuning Y Luo, Z Yang, F Meng, Y Li, J Zhou, Y Zhang arXiv preprint arXiv:2308.08747, 2023 | 256 | 2023 |
| On the robustness of chatgpt: An adversarial and out-of-distribution perspective J Wang, X Hu, W Hou, H Chen, R Zheng, Y Wang, L Yang, H Huang, ... arXiv preprint arXiv:2302.12095, 2023 | 252 | 2023 |
Linyi YangUniversity College London在 westlake.edu.cn 的电子邮件经过验证
