| On the adversarial robustness of vision transformers R Shao, Z Shi, J Yi, PY Chen, CJ Hsieh Transactions on Machine Learning Research (TMLR), 2022 | 235 | 2022 |
| How Long Can Context Length of Open-Source LLMs truly Promise? D Li, R Shao, A Xie, Y Sheng, L Zheng, J Gonzalez, I Stoica, X Ma, ... NeurIPS 2023 Workshop on Instruction Tuning and Instruction Following, 2023 | 154* | 2023 |
| MPCFormer: fast, performant and private Transformer inference with MPC D Li*, R Shao*, H Wang*, H Guo, EP Xing, H Zhang ICLR 2023 (Spotlight), 2022 | 75 | 2022 |
| Datacomp-lm: In search of the next generation of training sets for language models J Li, A Fang, G Smyrnis, M Ivgi, M Jordan, S Gadre, H Bansal, E Guha, ... arXiv preprint arXiv:2406.11794, 2024 | 70* | 2024 |
| Visit-bench: A dynamic benchmark for evaluating instruction-following vision-and-language models Y Bitton, H Bansal, J Hessel, R Shao, W Zhu, A Awadalla, J Gardner, ... Advances in Neural Information Processing Systems 36, 2024 | 59* | 2024 |
| Stochastic Channel-Based Federated Learning With Neural Network Pruning for Medical Data Privacy Preservation: Model Development and Experimental Validation R Shao, H He, Z Chen, H Liu, D Liu Journal of Medical Internet Research (JMIR) Form Res 2020;4(12):e17265, DOI …, 2020 | 40* | 2020 |
| Vision-flan: Scaling human-labeled tasks in visual instruction tuning Z Xu, C Feng, R Shao, T Ashby, Y Shen, D Jin, Y Cheng, Q Wang, ... arXiv preprint arXiv:2402.11690, 2024 | 31* | 2024 |
| Distflashattn: Distributed memory-efficient attention for long-context llms training D Li, R Shao, A Xie, EP Xing, X Ma, I Stoica, JE Gonzalez, H Zhang First Conference on Language Modeling, 2024 | 25* | 2024 |
| Robust text captchas using adversarial examples R Shao, Z Shi, J Yi, PY Chen, CJ Hsieh 2022 IEEE International Conference on Big Data (Big Data), 1495-1504, 2022 | 25* | 2022 |
| Language models scale reliably with over-training and on downstream tasks SY Gadre, G Smyrnis, V Shankar, S Gururangan, M Wortsman, R Shao, ... arXiv preprint arXiv:2403.08540, 2024 | 24 | 2024 |
| Cross-modal Attention Congruence Regularization for Vision-Language Relation Alignment R Pandey, R Shao, PP Liang, R Salakhutdinov, LP Morency ACL 2023, 2022 | 14 | 2022 |
| How and When Adversarial Robustness Transfers in Knowledge Distillation? R Shao, J Yi, PY Chen, CJ Hsieh ARoW in European Conference on Computer Vision (ECCV 2022), 2021 | 14 | 2021 |
| Scaling Retrieval-Based Language Models with a Trillion-Token Datastore R Shao, J He, A Asai, W Shi, T Dettmers, S Min, L Zettlemoyer, PWW Koh Advances in Neural Information Processing Systems 37, 91260-91299, 2025 | 7* | 2025 |
| Openscholar: Synthesizing scientific literature with retrieval-augmented lms A Asai, J He, R Shao, W Shi, A Singh, JC Chang, K Lo, L Soldaini, ... arXiv preprint arXiv:2411.14199, 2024 | 2 | 2024 |
| RoRA-VLM: Robust Retrieval-Augmented Vision Language Models J Qi, Z Xu, R Shao, Y Chen, J Di, Y Cheng, Q Wang, L Huang arXiv preprint arXiv:2410.08876, 2024 | 1 | 2024 |
| ICONS: Influence Consensus for Vision-Language Data Selection X Wu, M Xia, R Shao, Z Deng, PW Koh, O Russakovsky arXiv preprint arXiv:2501.00654, 2024 | | 2024 |
| Improving Factuality with Explicit Working Memory M Chen, Y Li, K Padthe, R Shao, A Sun, L Zettlemoyer, G Gosh, W Yih arXiv preprint arXiv:2412.18069, 2024 | | 2024 |
Dacheng LiUC Berkeley; NVIDIAGeverifieerd e-mailadres voor berkeley.edu