Han, Song

LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Chen, Y., Qian, S., Tang, H., Lai, X., Liu, Z., Han, S., & Jia, J. (2023) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 50

STORM: Token-Efficient Long Video Understanding for Multimodal LLMs

Jiang, J., Li, X., Liu, Z., Li, M., Chen, G., Li, Z., Huang, D.-A., Liu, G., Yu, Z., Keutzer, K., et al. (2025) · 2025 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)

Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition

Cited by 2

LongVILA: Scaling Long-Context Visual Language Models for Long Videos

Chen, Y., Xue, F., Li, D., Hu, Q., Zhu, L., Li, X., Fang, Y., Tang, H., Yang, S., Liu, Z., et al. (2024) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 2

Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference

Tang, J., Zhao, Y., Zhu, K., Xiao, G., Kasikci, B., & Han, S. (2024) · arXiv

Topic ModelingAdvanced Neural Network Applications

Cited by 2

Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models

NVIDIA, :, Blakeman, A., Basant, A., Khattar, A., Renduchintala, A., Bercovich, A., Ficek, A., Bjorlin, A., Taghibakhshi, A., et al. (2025) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 0