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, ... First Conference on Language Modeling, 2023 | 36 | 2023 |
Benchmarking robustness in neural radiance fields C Wang, A Wang, J Li, A Yuille, C Xie Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 10 | 2024 |
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 | 5 | 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 | 4 | 2022 |
Training Bayesian Neural Networks with Sparse Subspace Variational Inference J Li, Z Miao, Q Qiu, R Zhang International Conference on Learning Representations, 2024 | 3 | 2024 |
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 | 3 | 2024 |
Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs S Yun, H Lin, R Thushara, MQ Bhat, Y Wang, Z Jiang, M Deng, J Wang, ... Neural Information Processing Systems Datasets and Benchmarks Track, 2024 | 2 | 2024 |
Mitigating lies in vision-language models J Li, X Li, C Xie NeurIPS ML Safety Workshop, 2022 | 2 | 2022 |
On The Planning Abilities of OpenAI's o1 Models: Feasibility, Optimality, and Generalizability K Wang, J Li, NP Bhatt, Y Xi, Q Liu, U Topcu, Z Wang arXiv preprint arXiv:2409.19924, 2024 | | 2024 |
Crystal: Illuminating LLM Abilities on Language and Code T Tao, J Li, B Tan, H Wang, W Marshall, BM Kanakiya, J Hestness, ... First Conference on Language Modeling, 2024 | | 2024 |