| LLM360: Towards Fully Transparent Open-Source LLMs Z Liu, A Qiao, W Neiswanger, H Wang, B Tan, T Tao, J Li, Y Wang, S Sun, ... arXiv preprint arXiv:2312.06550, 2023 | 16 | 2023 |
| Benchmarking robustness in neural radiance fields C Wang, A Wang, J Li, A Yuille, C Xie arXiv preprint arXiv:2301.04075, 2023 | 9 | 2023 |
| Exponential family model-based reinforcement learning via score matching G Li, J Li, A Kabra, N Srebro, Z Wang, Z Yang Advances in Neural Information Processing Systems 35, 28474-28487, 2022 | 3 | 2022 |
| ViP: Unified Certified Detection and Recovery for Patch Attack with Vision Transformers J Li, H Zhang, C Xie European Conference on Computer Vision, 573-587, 2022 | 3 | 2022 |
| Training Bayesian Neural Networks with Sparse Subspace Variational Inference J Li, Z Miao, Q Qiu, R Zhang arXiv preprint arXiv:2402.11025, 2024 | 1 | 2024 |
| Mitigating Lies in Vision-Language Models J Li, X Li, C Xie NeurIPS ML Safety Workshop, 2022 | 1 | 2022 |
| FedNAR: Federated Optimization with Normalized Annealing Regularization J Li, A Li, C Tian, Q Ho, E Xing, H Wang Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
