Linqing Liu
Linqing Liu
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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
Bridging the Gap Between Relevance Matching and Semantic Matching for Short Text Similarity Modeling
J Rao, L Liu, Y Tay, W Yang, P Shi, J Lin
EMNLP, 2019
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
Mkd: a multi-task knowledge distillation approach for pretrained language models
L Liu, H Wang, J Lin, R Socher, C Xiong
arXiv preprint arXiv:1911.03588, 2019
NeurIPS 2020 EfficientQA competition: Systems, analyses and lessons learned
S Min, J Boyd-Graber, C Alberti, D Chen, E Choi, M Collins, K Guu, ...
arXiv preprint arXiv:2101.00133, 2021
Paq: 65 million probably-asked questions and what you can do with them
P Lewis, Y Wu, L Liu, P Minervini, H Küttler, A Piktus, P Stenetorp, ...
arXiv preprint arXiv:2102.07033, 2021
Incorporating Contextual and Syntactic Structures Improves Semantic Similarity Modeling
L Liu, W Yang, J Rao, R Tang, J Lin
EMNLP, 2019
Controllable Abstractive Dialogue Summarization with Sketch Supervision
CS Wu, L Liu, W Liu, P Stenetorp, C Xiong
arXiv preprint arXiv:2105.14064, 2021
Scalable content-based analysis of images in web archives with TensorFlow and the archives unleashed toolkit
HW Yang, L Liu, I Milligan, N Ruest, J Lin
2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL), 436-437, 2019
Challenges in Generalization in Open Domain Question Answering
L Liu, P Lewis, S Riedel, P Stenetorp
arXiv preprint arXiv:2109.01156, 2021
Multi-Task Knowledge Distillation for Language Model
L Liu, C Xiong
US Patent App. 16/716,249, 2021
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Artiklar 1–12