| Chatgpt as a factual inconsistency evaluator for abstractive text summarization Z Luo, Q Xie, S Ananiadou arXiv preprint arXiv:2303.15621, 2023 | 98 | 2023 |
| Readability controllable biomedical document summarization Z Luo, Q Xie, S Ananiadou arXiv preprint arXiv:2210.04705, 2022 | 29 | 2022 |
| Overview of the biolaysumm 2023 shared task on lay summarization of biomedical research articles T Goldsack, Z Luo, Q Xie, C Scarton, M Shardlow, S Ananiadou, C Lin arXiv preprint arXiv:2309.17332, 2023 | 15 | 2023 |
| A deep network based integrated model for disease named entity recognition F Tong, Z Luo, D Zhao 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2017 | 11 | 2017 |
| A survey on biomedical text summarization with pre-trained language model Q Xie, Z Luo, B Wang, S Ananiadou arXiv preprint arXiv:2304.08763, 2023 | 6 | 2023 |
| Citationsum: Citation-aware graph contrastive learning for scientific paper summarization Z Luo, Q Xie, S Ananiadou Proceedings of the ACM Web Conference 2023, 1843-1852, 2023 | 5 | 2023 |
| A survey for biomedical text summarization: From pre-trained to large language models Q Xie, Z Luo, B Wang, S Ananiadou arXiv preprint arXiv:2304.08763, 2023 | 4 | 2023 |
| Using deep neural network to recognize mutation entities in biomedical literature F Tong, Z Luo, D Zhao 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018 | 4 | 2018 |
| Construct Semantic Type of" Gene-mutation-disease" Relation by Computer-aided Curation from Biomedical Literature. D Zhao, F Tong, Z Luo BIOINFORMATICS, 123-130, 2019 | 2 | 2019 |
| The FinBen: An Holistic Financial Benchmark for Large Language Models Q Xie, W Han, Z Chen, R Xiang, X Zhang, Y He, M Xiao, D Li, Y Dai, ... arXiv preprint arXiv:2402.12659, 2024 | 1 | 2024 |
| Factual Consistency Evaluation of Summarisation in the Era of Large Language Models Z Luo, Q Xie, S Ananiadou arXiv preprint arXiv:2402.13758, 2024 | | 2024 |
| The Lay Person's Guide to Biomedicine: Orchestrating Large Language Models Z Luo, Q Xie, S Ananiadou arXiv preprint arXiv:2402.13498, 2024 | | 2024 |
| Graph Contrastive Topic Model Z Luo, L Liu, Q Xie, S Ananiadou arXiv preprint arXiv:2307.02078, 2023 | | 2023 |
| BROGUE: A Platform for Constructing and Visualizing" Gene-Mutation-Disease" Relation Knowledge Graphs to Support Biomedical Research and Clinical Decisions. D Zhao, F Tong, Z Luo, S Liu, W Song BIOINFORMATICS, 52-59, 2020 | | 2020 |
Sophia AnaniadouProfessor, Computer Science, Manchester University, National Centre for Text MiningVerified email at manchester.ac.uk
