| Harnessing the power of llms in practice: A survey on chatgpt and beyond J Yang*, H Jin*, R Tang*, X Han*, Q Feng*, H Jiang, S Zhong, B Yin, X Hu ACM Transactions on Knowledge Discovery from Data 18 (6), 1-32, 2024 | 797 | 2024 |
| Data-centric artificial intelligence: A survey D Zha, ZP Bhat, KH Lai, F Yang, Z Jiang, S Zhong, X Hu arXiv preprint arXiv:2303.10158, 2023 | 250 | 2023 |
| Kivi: A tuning-free asymmetric 2bit quantization for kv cache Z Liu*, J Yuan*, H Jin, S Zhong, Z Xu, V Braverman, B Chen, X Hu arXiv preprint arXiv:2402.02750, 2024 | 103 | 2024 |
| Soft Prompt Recovers Compressed LLMs, Transferably Z Xu*, Z Liu*, B Chen, S Zhong, Y Tang, W Jue, K Zhou, X Hu, ... Forty-first International Conference on Machine Learning, 2024 | 34* | 2024 |
| Revisit kernel pruning with lottery regulated grouped convolutions S Zhong, G Zhang, N Huang, S Xu International Conference on Learning Representations, 2021 | 34 | 2021 |
| Winner-take-all column row sampling for memory efficient adaptation of language model Z Liu*, G Wang*, SH Zhong, Z Xu, D Zha, RR Tang, ZS Jiang, K Zhou, ... Advances in Neural Information Processing Systems 36, 2024 | 16 | 2024 |
| Retrieval-enhanced knowledge editing in language models for multi-hop question answering Y Shi, Q Tan, X Wu, S Zhong, K Zhou, N Liu Proceedings of the 33rd ACM International Conference on Information and …, 2024 | 14* | 2024 |
| Kv cache compression, but what must we give in return? a comprehensive benchmark of long context capable approaches J Yuan*, H Liu*, S Zhong*, YN Chuang, S Li, G Wang, D Le, H Jin, ... arXiv preprint arXiv:2407.01527, 2024 | 9 | 2024 |
| Editable graph neural network for node classifications Z Liu*, Z Jiang*, S Zhong, K Zhou, L Li, R Chen, SH Choi, X Hu arXiv preprint arXiv:2305.15529, 2023 | 9 | 2023 |
| GNNs Also Deserve Editing, and They Need It More Than Once S Zhong*, D Le*, Z Liu, Z Jiang, A Ye, J Zhang, J Yuan, K Zhou, Z Xu, ... Forty-first International Conference on Machine Learning, 2024 | 3 | 2024 |
| Attack on LLMs: LoRA Once, Backdoor Everywhere in the Share-and-Play Ecosystem H Liu*, S Zhong*, X Sun, M Tian, Z Liu, R Tang, J Yuan, YN Chuang, L Li, ... | 3* | 2024 |
| One less reason for filter pruning: Gaining free adversarial robustness with structured grouped kernel pruning S Zhong, Z You, J Zhang, S Zhao, Z LeClaire, Z Liu, D Zha, V Chaudhary, ... Advances in neural information processing systems 36, 62032-62061, 2023 | 3 | 2023 |
| Knowledge Graphs Can be Learned with Just Intersection Features D Le, S Zhong, Z Liu, S Xu, V Chaudhary, K Zhou, Z Xu Forty-first International Conference on Machine Learning, 2024 | 2 | 2024 |
| Taylor Unswift: Secured Weight Release for Large Language Models via Taylor Expansion G Wang*, YN Chuang*, R Tang, S Zhong, J Yuan, H Jin, Z Liu, ... arXiv preprint arXiv:2410.05331, 2024 | 1 | 2024 |
| TVE: Learning Meta-attribution for Transferable Vision Explainer G Wang, YN Chuang, F Yang, M Du, CY Chang, S Zhong, Z Liu, Z Xu, ... Forty-first International Conference on Machine Learning, 2024 | 1* | 2024 |
| MQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced With Reliable Evaluations S Zhong*, Y Lu*, L Shao, B Bhushanam, X Du, L Feng, Y Wan, Y Shi, ... | | 2024 |
| LeanFlex-GKP: Advancing Hassle-Free Structured Pruning with Simple Flexible Group Count J Zhang, S Zhong, A Ye, Z Liu, K Zhou, X Hu, S Xu, V Chaudhary Workshop on Advancing Neural Network Training: Computational Efficiency …, 2023 | | 2023 |
Xia "Ben" HuAssociate Professor of Computer Science, Rice Universityrice.edu의 이메일 확인됨
