Yao Lu
Cited by
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Distilling Task-Specific Knowledge from BERT into Simple Neural Networks
R Tang, Y Lu, L Liu, L Mou, O Vechtomova, J Lin
arXiv preprint arXiv:1903.12136, 2019
Generative Adversarial Network for Abstractive Text Summarization
L Liu, Y Lu, M Yang, Q Qu, J Zhu, H Li
AAAI Conference on Artificial Intelligence, 2018
Detecting" Smart" Spammers On Social Network: A Topic Model Approach
L Liu, Y Lu, Y Luo, R Zhang, L Itti, J Lu
Proceedings of the NAACL Student Research Workshop, 2016
Coliee-2018: Evaluation of the competition on legal information extraction and entailment
Y Kano, MY Kim, M Yoshioka, Y Lu, J Rabelo, N Kiyota, R Goebel, ...
JSAI International Symposium on Artificial Intelligence, 177-192, 2018
Natural language generation for effective knowledge distillation
R Tang, Y Lu, J Lin
Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource …, 2019
Legal question answering using paraphrasing and entailment analysis
MY Kim, Y Xu, Y Lu, R Goebel
Tenth International Workshop on Juris-informatics (JURISIN), 2016
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
Y Lu, M Bartolo, A Moore, S Riedel, P Stenetorp
arXiv preprint arXiv:2104.08786, 2021
Plausibility-promoting generative adversarial network for abstractive text summarization with multi-task constraint
M Yang, X Wang, Y Lu, J Lv, Y Shen, C Li
Information Sciences 521, 46-61, 2020
Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction
R Schumann, L Mou, Y Lu, O Vechtomova, K Markert
ACL, 2020
Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles
Y Lu, Y Dong, L Charlin
EMNLP, 2020
A Multi-task Learning Framework for Abstractive Text Summarization
Y Lu, L Liu, Z Jiang, M Yang, R Goebel
AAAI Conference on Artificial Intelligence, 2019
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