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Yuntian Deng
Yuntian Deng
Assistant Professor, University of Waterloo
Verified email at uwaterloo.ca - Homepage
Title
Cited by
Cited by
Year
OpenNMT: Open-Source Toolkit for Neural Machine Translation
G Klein, Y Kim, Y Deng, J Senellart, AM Rush
ACL Demo, 2017
24972017
Bottom-Up Abstractive Summarization
S Gehrmann, Y Deng, AM Rush
EMNLP, 2018
8652018
Image-to-Markup Generation with Coarse-to-Fine Attention
Y Deng, A Kanervisto, J Ling, AM Rush
ICML, 2017
360*2017
Residual Energy-Based Models for Text Generation
Y Deng, A Bakhtin, M Ott, A Szlam, MA Ranzato
ICLR, 2020
191*2020
Real or Fake? Learning to Discriminate Machine from Human Generated Text
A Bakhtin, S Gross, M Ott, Y Deng, MA Ranzato, A Szlam
arXiv preprint arXiv:1906.03351, 2019
1672019
Latent Alignment and Variational Attention
Y Deng, Y Kim, J Chiu, D Guo, A Rush
NeurIPS, 2018
1562018
Neural Linguistic Steganography
ZM Ziegler, Y Deng, AM Rush
EMNLP, 2019
1372019
WildChat: 1M ChatGPT Interaction Logs in the Wild
W Zhao, X Ren, J Hessel, C Cardie, Y Choi, Y Deng
ICLR, 2024
1162024
AdaptivFloat: A Floating-point based Data Type for Resilient Deep Learning Inference
T Tambe, EY Yang, Z Wan, Y Deng, VJ Reddi, A Rush, D Brooks, GY Wei
DAC, 2019
100*2019
Entity Hierarchy Embedding
Z Hu, P Huang, Y Deng, Y Gao, E Xing
ACL, 2015
922015
Diversifying Restricted Boltzmann Machine for Document Modeling
P Xie, Y Deng, E Xing
KDD, 2015
902015
GenSLMs: Genome-scale language models reveal SARS-CoV-2 evolutionary dynamics
M Zvyagin, A Brace, K Hippe, Y Deng, B Zhang, CO Bohorquez, A Clyde, ...
The International Journal of High Performance Computing Applications 37 (6 …, 2023
892023
Challenges in end-to-end neural scientific table recognition
Y Deng, D Rosenberg, G Mann
ICDAR, 2019
732019
Neural Machine Translation with Recurrent Attention Modeling
Z Yang, Z Hu, Y Deng, C Dyer, A Smola
EACL, 2016
622016
Dropout with Expectation-linear Regularization
X Ma, Y Gao, Z Hu, Y Yu, Y Deng, E Hovy
ICLR, 2016
602016
Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing
Z Xu, F Jiang, L Niu, Y Deng, R Poovendran, Y Choi, BY Lin
ICLR, 2024
542024
Rationales for Sequential Predictions
K Vafa, Y Deng, DM Blei, AM Rush
EMNLP, 2021
362021
WILDBENCH: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild
BY Lin, Y Deng, K Chandu, F Brahman, A Ravichander, V Pyatkin, N Dziri, ...
ICLR, 2024
34*2024
Learning Concept Taxonomies from Multi-modal Data
H Zhang, Z Hu, Y Deng, M Sachan, Z Yan, EP Xing
ACL, 2016
312016
Learning Latent Space Models with Angular Constraints
P Xie, Y Deng, Y Zhou, A Kumar, Y Yu, J Zou, EP Xing
ICML, 2017
272017
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