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Yao Lu
Yao Lu
University College London
Adresă de e-mail confirmată pe ucl.ac.uk - Pagina de pornire
Titlu
Citat de
Citat de
Anul
Fantastically ordered prompts and where to find them: Overcoming few-shot prompt order sensitivity
Y Lu, M Bartolo, A Moore, S Riedel, P Stenetorp
ACL, 2022
10842022
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
4902019
Generative Adversarial Network for Abstractive Text Summarization
L Liu, Y Lu, M Yang, Q Qu, J Zhu, H Li
AAAI, 2018
2292018
Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles
Y Lu, Y Dong, L Charlin
EMNLP, 2020
1132020
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, ...
New Frontiers in Artificial Intelligence: JSAI-isAI 2018 Workshops, JURISIN …, 2019
532019
Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction
R Schumann, L Mou, Y Lu, O Vechtomova, K Markert
ACL, 2020
502020
Detecting" Smart" Spammers On Social Network: A Topic Model Approach
L Liu, Y Lu, Y Luo, R Zhang, L Itti, J Lu
NAACL Student Research Workshop, 2016
472016
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
442020
Natural language generation for effective knowledge distillation
R Tang, Y Lu, J Lin
Workshop on Deep Learning Approaches for Low-Resource NLP, 2019
352019
Legal question answering using paraphrasing and entailment analysis
MY Kim, Y Xu, Y Lu, R Goebel
Tenth International Workshop on Juris-informatics (JURISIN), 2016
22*2016
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
122019
Coliee-2018: Evaluation of the competition on case law information extraction and entailment
MY Kim, Y Lu, J Rabelo, R Goebel
Proceedings of the Twelfth International Workshop on Juris-informatics …, 2018
72018
Textual entailment in legal bar exam question answering using deep siamese networks
MY Kim, Y Lu, R Goebel
New Frontiers in Artificial Intelligence: JSAI-isAI Workshops, JURISIN, SKL …, 2018
72018
AfriMTE and AfriCOMET: Enhancing COMET to Embrace Under-resourced African Languages
J Wang, ..., Y Lu, P Stenetorp
NAACL, 2023
6*2023
Strings from the Library of Babel: Random Sampling as a Strong Baseline for Prompt Optimisation
Y Lu, J Wang, R Tang, S Riedel, P Stenetorp
NAACL, 2024
2*2024
Multilingual Language Model Pretraining using Machine-translated Data
J Wang*, Y Lu*, M Weber, M Ryabinin, D Adelani, Y Chen, R Tang, ...
arXiv preprint arXiv:2502.13252, 2025
1*2025
Jet Expansions of Residual Computation
Y Chen, X Xu, Y Lu, P Stenetorp, L Franceschi
arXiv preprint arXiv:2410.06024, 2024
12024
Words Worth a Thousand Pictures: Measuring and Understanding Perceptual Variability in Text-to-Image Generation
R Tang, X Zhang, L Xu, Y Lu, W Li, P Stenetorp, J Lin, F Ture
EMNLP, 2024
2024
DNLC: differential network local consistency analysis
J Lu, Y Lu, Y Ding, Q Xiao, L Liu, Q Cai, Y Kong, Y Bai, T Yu
BMC bioinformatics 20, 1-10, 2019
2019
COLIEE-2018: Evaluation of the Competition on Legal Information Extraction and Entailment
Y Lu, J Rabelo, N Kiyota, R Goebel, K Satoh
2019
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