Towards efficient data valuation based on the shapley value R Jia, D Dao, B Wang, FA Hubis, N Hynes, NM Gürel, B Li, C Zhang, ... The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 420 | 2019 |
Efficient task-specific data valuation for nearest neighbor algorithms R Jia, D Dao, B Wang, FA Hubis, NM Gurel, B Li, C Zhang, CJ Spanos, ... arXiv preprint arXiv:1908.08619, 2019 | 209 | 2019 |
Decodingtrust: A comprehensive assessment of trustworthiness in gpt models B Wang, W Chen, H Pei, C Xie, M Kang, C Zhang, C Xu, Z Xiong, R Dutta, ... arXiv preprint arXiv:2306.11698, 2023 | 153 | 2023 |
Reinforcement-learning based portfolio management with augmented asset movement prediction states Y Ye, H Pei, B Wang, PY Chen, Y Zhu, J Xiao, B Li Proceedings of the AAAI conference on artificial intelligence 34 (01), 1112-1119, 2020 | 142 | 2020 |
Adversarial glue: A multi-task benchmark for robustness evaluation of language models B Wang, C Xu, S Wang, Z Gan, Y Cheng, J Gao, AH Awadallah, B Li arXiv preprint arXiv:2111.02840, 2021 | 139 | 2021 |
Infobert: Improving robustness of language models from an information theoretic perspective B Wang, S Wang, Y Cheng, Z Gan, R Jia, B Li, J Liu arXiv preprint arXiv:2010.02329, 2020 | 112 | 2020 |
G-pate: Scalable differentially private data generator via private aggregation of teacher discriminators Y Long, B Wang, Z Yang, B Kailkhura, A Zhang, C Gunter, B Li Advances in Neural Information Processing Systems 34, 2965-2977, 2021 | 94* | 2021 |
T3: Tree-autoencoder constrained adversarial text generation for targeted attack B Wang, H Pei, B Pan, Q Chen, S Wang, B Li arXiv preprint arXiv:1912.10375, 2019 | 81 | 2019 |
Datalens: Scalable privacy preserving training via gradient compression and aggregation B Wang, F Wu, Y Long, L Rimanic, C Zhang, B Li Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications …, 2021 | 43 | 2021 |
Exploring the limits of domain-adaptive training for detoxifying large-scale language models B Wang, W Ping, C Xiao, P Xu, M Patwary, M Shoeybi, B Li, ... Advances in Neural Information Processing Systems 35, 35811-35824, 2022 | 41 | 2022 |
Semattack: Natural textual attacks via different semantic spaces B Wang, C Xu, X Liu, Y Cheng, B Li arXiv preprint arXiv:2205.01287, 2022 | 41* | 2022 |
Shall we pretrain autoregressive language models with retrieval? a comprehensive study B Wang, W Ping, P Xu, L McAfee, Z Liu, M Shoeybi, Y Dong, O Kuchaiev, ... arXiv preprint arXiv:2304.06762, 2023 | 28 | 2023 |
Can Public Large Language Models Help Private Cross-device Federated Learning? B Wang, YJ Zhang, Y Cao, B Li, HB McMahan, S Oh, Z Xu, M Zaheer arXiv preprint arXiv:2305.12132, 2023 | 22 | 2023 |
Uncovering the connections between adversarial transferability and knowledge transferability K Liang, JY Zhang, B Wang, Z Yang, S Koyejo, B Li International Conference on Machine Learning, 6577-6587, 2021 | 18 | 2021 |
Certifying out-of-domain generalization for blackbox functions MG Weber, L Li, B Wang, Z Zhao, B Li, C Zhang International Conference on Machine Learning, 23527-23548, 2022 | 15 | 2022 |
Instructretro: Instruction tuning post retrieval-augmented pretraining B Wang, W Ping, L McAfee, P Xu, B Li, M Shoeybi, B Catanzaro arXiv preprint arXiv:2310.07713, 2023 | 11 | 2023 |
Incorporating external POS tagger for punctuation restoration N Shi, W Wang, B Wang, J Li, X Liu, Z Lin arXiv preprint arXiv:2106.06731, 2021 | 10 | 2021 |
Improving certified robustness via statistical learning with logical reasoning Z Yang, Z Zhao, B Wang, J Zhang, L Li, H Pei, B Karlaš, J Liu, H Guo, ... Advances in Neural Information Processing Systems 35, 34859-34873, 2022 | 9 | 2022 |
End-to-end robustness for sensing-reasoning machine learning pipelines Z Yang, Z Zhao, H Pei, B Wang, B Karlas, J Liu, H Guo, B Li, C Zhang arXiv preprint arXiv:2003.00120, 2020 | 8 | 2020 |
Focus: Fairness via agent-awareness for federated learning on heterogeneous data W Chu, C Xie, B Wang, L Li, L Yin, H Zhao, B Li arXiv preprint arXiv:2207.10265, 2022 | 6 | 2022 |