| Pre-trained language models in biomedical domain: A systematic survey B Wang, Q Xie, J Pei, P Tiwari, Z Li Accepted by ACM computing survey, 2021 | 106 | 2021 |
| Chatgpt as a factual inconsistency evaluator for text summarization Z Luo, Q Xie, S Ananiadou arXiv preprint arXiv:2303.15621, 2023 | 105 | 2023 |
| On the evaluations of chatgpt and emotion-enhanced prompting for mental health analysis K Yang, S Ji, T Zhang, Q Xie, S Ananiadou arXiv preprint arXiv:2304.03347 4, 2023 | 86* | 2023 |
| Incorporating word embeddings into topic modeling of short text W Gao, M Peng, H Wang, Y Zhang, Q Xie, G Tian Knowledge and Information Systems 61, 1123-1145, 2019 | 81 | 2019 |
| Pre-trained language models with domain knowledge for biomedical extractive summarization Q Xie, JA Bishop, P Tiwari, S Ananiadou Knowledge-Based Systems 252, 109460, 2022 | 62 | 2022 |
| Pixiu: A large language model, instruction data and evaluation benchmark for finance Q Xie, W Han, X Zhang, Y Lai, M Peng, A Lopez-Lira, J Huang arXiv preprint arXiv:2306.05443, 2023 | 59 | 2023 |
| Zero-shot temporal relation extraction with chatgpt C Yuan, Q Xie, S Ananiadou BioNLP@ACL 2023, 2023 | 44 | 2023 |
| Neural sparse topical coding M Peng, Q Xie, Y Zhang, H Wang, XJ Zhang, J Huang, G Tian Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 44 | 2018 |
| Bayesian sparse topical coding M Peng, Q Xie, H Wang, Y Zhang, G Tian IEEE Transactions on Knowledge and Data Engineering 31 (6), 1080-1093, 2018 | 37 | 2018 |
| The wall street neophyte: A zero-shot analysis of chatgpt over multimodal stock movement prediction challenges Q Xie, W Han, Y Lai, M Peng, J Huang arXiv preprint arXiv:2304.05351, 2023 | 35 | 2023 |
| Readability Controllable Biomedical Document Summarization Z Luo, Q Xie, S Ananiadou Findings of the Association for Computational Linguistics: EMNLP 2022, 4667–4680, 2022 | 35 | 2022 |
| Generation of topic evolution graphs from short text streams W Gao, M Peng, H Wang, Y Zhang, W Han, G Hu, Q Xie Neurocomputing 383, 282-294, 2020 | 35 | 2020 |
| Graph topic neural network for document representation Q Xie, J Huang, P Du, M Peng, JY Nie Proceedings of the Web Conference 2021, 3055-3065, 2021 | 30 | 2021 |
| Gretel: Graph contrastive topic enhanced language model for long document extractive summarization Q Xie, J Huang, T Saha, S Ananiadou COLING 2022, 2022 | 27 | 2022 |
| Graph neural collaborative topic model for citation recommendation Q Xie, Y Zhu, J Huang, P Du, JY Nie ACM Transactions on Information Systems (TOIS) 40 (3), 1-30, 2021 | 27 | 2021 |
| Inductive topic variational graph auto-encoder for text classification Q Xie, J Huang, P Du, M Peng, JY Nie proceedings of the 2021 conference of the North American chapter of the …, 2021 | 25 | 2021 |
| MentaLLaMA: interpretable mental health analysis on social media with large language models K Yang, T Zhang, Z Kuang, Q Xie, J Huang, S Ananiadou Proceedings of the ACM on Web Conference 2024, 4489-4500, 2024 | 24 | 2024 |
| Faithful AI in Medicine: A Systematic Review with Large Language Models and Beyond Q Xie, EJ Schenck, HS Yang, Y Chen, Y Peng, F Wang medRxiv, 2023.04. 18.23288752, 2023 | 23* | 2023 |
| Neural variational sparse topic model for sparse explainable text representation Q Xie, P Tiwari, D Gupta, J Huang, M Peng Information Processing & Management 58 (5), 102614, 2021 | 22 | 2021 |
| GenCompareSum: a hybrid unsupervised summarization method using salience J Bishop, Q Xie, S Ananiadou Proceedings of the 21st workshop on biomedical language processing, 220-240, 2022 | 20 | 2022 |
Sophia AnaniadouProfessor, Computer Science, Manchester University, National Centre for Text Mining在 manchester.ac.uk 的电子邮件经过验证
