Следене
Qianqian Xie
Qianqian Xie
Yale University
Потвърден имейл адрес: yale.edu
Заглавие
Позовавания
Позовавания
Година
Factual consistency evaluation of summarisation in the Era of large language models
Z Luo, Q Xie, S Ananiadou
Expert Systems with Applications, 124456, 2024
139*2024
Pre-trained language models in biomedical domain: A systematic survey
B Wang, Q Xie, J Pei, P Tiwari, Z Li
ACM computing survey, 2021
1312021
On the evaluations of chatgpt and emotion-enhanced prompting for mental health analysis
K Yang, S Ji, T Zhang, Q Xie, S Ananiadou
EMNLP 2023 4, 2023
130*2023
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
NeurIPS Dataset and Benchmark Track 2023, 2023
932023
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
852019
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
762022
Zero-shot temporal relation extraction with chatgpt
C Yuan, Q Xie, S Ananiadou
BioNLP@ACL 2023, 2023
602023
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
552024
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
462023
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
462018
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
38*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
382018
Readability Controllable Biomedical Document Summarization
Z Luo, Q Xie, S Ananiadou
Findings of the Association for Computational Linguistics: EMNLP 2022, 4667–4680, 2022
362022
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
362020
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
332021
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
322021
Gretel: Graph contrastive topic enhanced language model for long document extractive summarization
Q Xie, J Huang, T Saha, S Ananiadou
COLING 2022, 2022
312022
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
312021
Overview of the biolaysumm 2024 shared task on the lay summarization of biomedical research articles
T Goldsack, C Scarton, M Shardlow, C Lin
arXiv preprint arXiv:2408.08566, 2024
302024
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
242021
Системата не може да изпълни операцията сега. Опитайте отново по-късно.
Статии 1–20