Improving natural language inference using external knowledge in the science questions domain X Wang, P Kapanipathi, R Musa, M Yu, K Talamadupula, I Abdelaziz, ... Proceedings of the AAAI conference on artificial intelligence 33 (01), 7208-7215, 2019 | 188 | 2019 |
Answering science exam questions using query rewriting with background knowledge R Musa, X Wang, A Fokoue, N Mattei, M Chang, P Kapanipathi, B Makni, ... Automated Knowledge Base Construction 2019, 2019 | 28 | 2019 |
Avid: Any-length video inpainting with diffusion model Z Zhang, B Wu, X Wang, Y Luo, L Zhang, Y Zhao, P Vajda, D Metaxas, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 25 | 2024 |
Fairy: Fast parallelized instruction-guided video-to-video synthesis B Wu, CY Chuang, X Wang, Y Jia, K Krishnakumar, T Xiao, F Liang, L Yu, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 23 | 2024 |
Consistent classification with generalized metrics X Wang, R Li, B Yan, O Koyejo arXiv preprint arXiv:1908.09057, 2019 | 11 | 2019 |
Learning to order sub-questions for complex question answering Y Zhang, X Cheng, Y Zhang, Z Wang, Z Fang, X Wang, Z Huang, C Zhai arXiv preprint arXiv:1911.04065, 2019 | 4 | 2019 |
Probabilistic programming with programmable variational inference MCR Becker, AK Lew, X Wang, M Ghavami, M Huot, MC Rinard, ... Proceedings of the ACM on Programming Languages 8 (PLDI), 2123-2147, 2024 | 2 | 2024 |
PPL Bench: Evaluation Framework For Probabilistic Programming Languages S Kulkarni, KD Shah, N Arora, X Wang, YL Li, NK Tehrani, M Tingley, ... International Conference on Probabilistic Programming (PROBPROG) 2020, 2020 | | 2020 |
HiBi: A hierarchical bigram model for associative learning X Wang | | 2020 |