| 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 | 759* | 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 | 73 | 2022 |
| 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 | 48 | 2017 |
| 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 | 32 | 2015 |
| 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 | 24 | 2022 |
| 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 | 22 | 2022 |
| 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 | 16 | 2023 |
| 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 | 11 | 2020 |
| 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 | 11 | 2016 |
| SubmodBoxes: Near-Optimal Search for a Set of Diverse Object Proposals Q Sun, D Batra Neural Information Processing Systems (NIPS), 2015 | 11 | 2015 |
| 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 | 11 | 2011 |
| Neural Entity Recognition with Gazetteer based Fusion Q Sun, P Bhatia The Association for Computational Linguistics and the 11th International …, 2021 | 6 | 2021 |
| 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 | 3 | 2023 |
| 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 | 3 | 2023 |
| 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 | 1 | 2023 |
| 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 | | |
Dhruv BatraGeorgia Tech | Prev: FAIR (Meta AI)在 gatech.edu 的电子邮件经过验证
