Ning, Xuefei

Skeleton-of-Thought: Prompting LLMs for Efficient Parallel Generation

Ning, X., Lin, Z., Zhou, Z., Wang, Z., Yang, H., & Wang, Y. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 36

FTT-NAS: Discovering Fault-tolerant Convolutional Neural Architecture

Ning, X., Ge, G., Li, W., Zhu, Z., Zheng, Y., Chen, X., Gao, Z., Wang, Y., & Yang, H. (2021) · ACM Transactions on Design Automation of Electronic Systems

Advanced Neural Network ApplicationsRadiation Effects in Electronics

Cited by 20

Gibbon: Efficient Co-Exploration of NN Model and Processing-In-Memory Architecture

Sun, H., Wang, C., Zhu, Z., Ning, X., Dai, G., Yang, H., & Wang, Y. (2022) · 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE)

Advanced Memory and Neural ComputingParallel Computing and Optimization Techniques

Cited by 15

BoolNet: Minimizing The Energy Consumption of Binary Neural Networks

Guo, N., Bethge, J., Yang, H., Zhong, K., Ning, X., Meinel, C., & Wang, Y. (2021) · arXiv

Advanced Neural Network ApplicationsAdvanced Memory and Neural Computing

Cited by 10

LV-Eval: A Balanced Long-Context Benchmark with 5 Length Levels Up to 256K

Yuan, T., Ning, X., Zhou, D., Yang, Z., Li, S., Zhuang, M., Tan, Z., Yao, Z., Lin, D., Li, B., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1