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Qing Sun
Qing Sun
Ph.D. of Electrical and Computer Engineering, Virginia Tech
Geverifieerd e-mailadres voor vt.edu - Homepage
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Diverse beam search for improved description of complex scenes
A Vijayakumar, M Cogswell, R Selvaraju, Q Sun, S Lee, D Crandall, ...
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
726*2018
Multi-lingual evaluation of code generation models
B Athiwaratkun, SK Gouda, Z Wang, X Li, Y Tian, M Tan, WU Ahmad, ...
arXiv preprint arXiv:2210.14868, 2022
652022
Bidirectional beam search: Forward-backward inference in neural sequence models for fill-in-the-blank image captioning
Q Sun, S Lee, D Batra
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
492017
Active Learning for Structured Probabilistic Models with Histogram Approximation
Q Sun, A Laddha, D Batra
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015
322015
Learning to Revise References for Faithful Summarization
G Adams, HC Shing, Q Sun, C Winestock, K McKeown, N Elhadad
Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022
222022
Baishakhi Ray, Parminder Bhatia, Sudipta Sengupta, Dan Roth, and Bing Xiang
B Athiwaratkun, SK Gouda, Z Wang, X Li, Y Tian, M Tan, WU Ahmad, ...
Multi-lingual evaluation of code generation models, 2022
192022
SubmodBoxes: Near-Optimal Search for a Set of Diverse Object Proposals
Q Sun, D Batra
Neural Information Processing Systems (NIPS), 2015
112015
Mesh wire tomography combined with a modified sensitivity map
Q Sun, H Wang
2011 IEEE International Conference on Imaging Systems and Techniques, 74-78, 2011
112011
Exploring continual learning for code generation models
P Yadav, Q Sun, H Ding, X Li, D Zhang, M Tan, X Ma, P Bhatia, ...
arXiv preprint arXiv:2307.02435, 2023
102023
An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-training
K Arumae, Q Sun, P Bhatia
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
102020
Diverse beam search: Decoding diverse solutions from neural sequence models (2016)
AK Vijayakumar, M Cogswell, RR Selvaraju, Q Sun, S Lee, D Crandall, ...
arXiv preprint arXiv:1610.02424, 2016
102016
Neural Entity Recognition with Gazetteer based Fusion
Q Sun, P Bhatia
The Association for Computational Linguistics and the 11th International …, 2021
62021
Greener yet powerful: Taming large code generation models with quantization
X Wei, S Gonugondla, W Ahmad, S Wang, B Ray, H Qian, X Li, V Kumar, ...
arXiv preprint arXiv:2303.05378, 2023
22023
Towards greener yet powerful code generation via quantization: An empirical study
X Wei, SK Gonugondla, S Wang, W Ahmad, B Ray, H Qian, X Li, V Kumar, ...
Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023
12023
On io-efficient attention mechanisms: Context-aware bifurcated attention and the generalized multi-group attention
B Athiwaratkun, SK Gonugondla, SK Gouda, H Qian, H Ding, Q Sun, ...
Workshop on Efficient Systems for Foundation Models@ ICML2023, 2023
12023
Bifurcated Attention for Single-Context Large-Batch Sampling
B Athiwaratkun, SK Gonugondla, SK Gouda, H Qian, H Ding, Q Sun, ...
arXiv preprint arXiv:2403.08845, 2024
2024
Learn to Talk via Proactive Knowledge Transfer
Q Sun, J Cross
arXiv preprint arXiv:2008.10077, 2020
2020
Greedy Inference Algorithms for Structured and Neural Models
Q Sun
Virginia Tech, 2018
2018
Beam Search for Top-B Decoding in Bi-RNNs
Q Sun, D Batra
Active Learning for Structured Probabilistic Models
Q Sun, A Laddha, D Batra
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Artikelen 1–20