| Adalora: Adaptive budget allocation for parameter-efficient fine-tuning Q Zhang, M Chen, A Bukharin, N Karampatziakis, P He, Y Cheng, ... arXiv preprint arXiv:2303.10512, 2023 | 521 | 2023 |
| Platon: Pruning large transformer models with upper confidence bound of weight importance Q Zhang, S Zuo, C Liang, A Bukharin, P He, W Chen, T Zhao International conference on machine learning, 26809-26823, 2022 | 96 | 2022 |
| High-resolution spatio-temporal model for county-level COVID-19 activity in the US S Zhu, A Bukharin, L Xie, M Santillana, S Yang, Y Xie ACM Transactions on Management Information Systems (TMIS) 12 (4), 1-20, 2021 | 28 | 2021 |
| Helpsteer2-preference: Complementing ratings with preferences Z Wang, A Bukharin, O Delalleau, D Egert, G Shen, J Zeng, O Kuchaiev, ... arXiv preprint arXiv:2410.01257, 2024 | 21 | 2024 |
| Data diversity matters for robust instruction tuning A Bukharin, T Zhao EMNLP 2024, 2023 | 17 | 2023 |
| Robust multi-agent reinforcement learning via adversarial regularization: Theoretical foundation and stable algorithms A Bukharin, Y Li, Y Yu, Q Zhang, Z Chen, S Zuo, C Zhang, S Zhang, ... Advances in Neural Information Processing Systems 36, 68121-68133, 2023 | 13 | 2023 |
| Early detection of COVID-19 hotspots using spatio-temporal data S Zhu, A Bukharin, L Xie, K Yamin, S Yang, P Keskinocak, Y Xie IEEE Journal of Selected Topics in Signal Processing 16 (2), 250-260, 2022 | 12 | 2022 |
| Five-year project-level statewide pavement performance forecasting using a two-stage machine learning approach based on long short-term memory AW Bukharin, Z Yang, Y Tsai Transportation Research Record 2675 (11), 280-290, 2021 | 10 | 2021 |
| Adalora: adaptive budget allocation for parameter-efficient fine-tuning (2023) Q Zhang, M Chen, A Bukharin, N Karampatziakis, P He, Y Cheng, ... URL https://arxiv. org/abs/2303.10512, 0 | 8 | |
| Ambient noise-based weakly supervised manhole localization methods over deployed fiber networks A Bukharin, S Han, Y Chen, MF Huang, YK Huang, Y Xie, T Wang Optics Express 31 (6), 9591-9607, 2023 | 5 | 2023 |
| Data-driven optimization for police beat design in south fulton, georgia S Zhu, AW Bukharin, L Lu, H Wang, Y Xie arXiv preprint arXiv:2004.09660, 2020 | 5 | 2020 |
| Deep reinforcement learning from hierarchical weak preference feedback A Bukharin, Y Li, P He, W Chen, T Zhao arXiv preprint arXiv:2309.02632, 2023 | 3 | 2023 |
| RNR: Teaching large language models to follow roles and rules K Wang, A Bukharin, H Jiang, Q Yin, Z Wang, T Zhao, J Shang, C Zhang, ... arXiv preprint arXiv:2409.13733, 2024 | 2 | 2024 |
| Robust Reinforcement Learning from Corrupted Human Feedback A Bukharin, I Hong, H Jiang, Z Li, Q Zhang, Z Zhang, T Zhao NEURIPS 2024, 2024 | 2 | 2024 |
| Adaptive Preference Scaling for Reinforcement Learning with Human Feedback I Hong, Z Li, A Bukharin, Y Li, H Jiang, T Yang, T Zhao NEURIPS 2024, 2024 | 2 | 2024 |
| Machine learning force fields with data cost aware training A Bukharin, T Liu, S Wang, S Zuo, W Gao, W Yan, T Zhao International Conference on Machine Learning, 3219-3232, 2023 | 2 | 2023 |
| Reward-aware Preference Optimization: A Unified Mathematical Framework for Model Alignment S Sun, Y Zhang, A Bukharin, D Mosallanezhad, J Zeng, S Singhal, ... arXiv preprint arXiv:2502.00203, 2025 | | 2025 |
| Deep Reinforcement Learning from Hierarchical Preference Design A Bukharin, Y Li, P He, T Zhao arXiv preprint arXiv:2309.02632, 2023 | | 2023 |
| Data-Driven Optimization for Police Districting in South Fulton, Georgia S Zhu, A Bukharin, L Lu, H Wang, Y Xie KDD Workshop on Data Science for Social Good, 2021 | | 2021 |
| Overparameterization and Efficient Adversarial Training of Neural Networks K Acharya, A Bukharin, T LaBonte | | |
Tuo ZhaoAssociate Professor, Georgia TechZweryfikowany adres z gatech.edu