Qianqian Xie
Cited by
Cited by
Chatgpt as a factual inconsistency evaluator for abstractive text summarization
Z Luo, Q Xie, S Ananiadou
arXiv preprint arXiv:2303.15621, 2023
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
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
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, 2023
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
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
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
Zero-shot temporal relation extraction with chatgpt
C Yuan, Q Xie, S Ananiadou
BioNLP@ACL 2023, 2023
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
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
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
Readability Controllable Biomedical Document Summarization
Z Luo, Q Xie, S Ananiadou
Findings of the Association for Computational Linguistics: EMNLP 2022, 4667–4680, 2022
Gretel: Graph contrastive topic enhanced language model for long document extractive summarization
Q Xie, J Huang, T Saha, S Ananiadou
COLING 2022, 2022
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
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
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
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
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
Mentalllama: Interpretable mental health analysis on social media with large language models
K Yang, T Zhang, Z Kuang, Q Xie, S Ananiadou
arXiv preprint arXiv:2309.13567, 2023
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
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