Παρακολούθηση
Hongye Jin
Hongye Jin
Texas A&M University
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα tamu.edu - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
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
7982024
Disentangled graph collaborative filtering
X Wang, H Jin, A Zhang, X He, T Xu, TS Chua
Proceedings of the 43rd international ACM SIGIR conference on research and …, 2020
6072020
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
1042024
Llm maybe longlm: Self-extend llm context window without tuning
H Jin, X Han, J Yang, Z Jiang, Z Liu, CY Chang, H Chen, X Hu
arXiv preprint arXiv:2401.01325, 2024
103*2024
Retiring DP: New Distribution-Level Metrics for Demographic Parity
X Han, Z Jiang, H Jin, Z Liu, N Zou, Q Wang, X Hu
arXiv preprint arXiv:2301.13443, 2023
192023
Chasing fairness under distribution shift: a model weight perturbation approach
ZS Jiang, X Han, H Jin, G Wang, R Chen, N Zou, X Hu
Advances in Neural Information Processing Systems 36, 2024
112024
Weight perturbation can help fairness under distribution shift
Z Jiang, X Han, H Jin, G Wang, N Zou, X Hu
arXiv preprint arXiv:2303.03300, 2023
112023
Growlength: Accelerating llms pretraining by progressively growing training length
H Jin, X Han, J Yang, Z Jiang, CY Chang, X Hu
arXiv preprint arXiv:2310.00576, 2023
102023
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
92024
Towards mitigating dimensional collapse of representations in collaborative filtering
H Chen, V Lai, H Jin, Z Jiang, M Das, X Hu
Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024
52024
Exposing Model Theft: A Robust and Transferable Watermark for Thwarting Model Extraction Attacks
R Tang, H Jin, M Du, C Wigington, R Jain, X Hu
Proceedings of the 32nd ACM International Conference on Information and …, 2023
22023
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
12024
Was my model stolen? Feature sharing for robust and transferable watermarks
R Tang, H Jin, C Wigington, M Du, R Jain, X Hu
12021
Gradient Rewiring for Editable Graph Neural Network Training
Z Jiang, Z Liu, X Han, Q Feng, H Jin, Q Tan, K Zhou, N Zou, X Hu
arXiv preprint arXiv:2410.15556, 2024
2024
Secured Weight Release for Large Language Models via Taylor Expansion
G Wang, YN Chuang, R Tang, S Zhong, J Yuan, H Jin, Z Liu, ...
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