9 citations · 9 across the 4 of their papers we have counts for
5 papers
CateKV: On Sequential Consistency for Long-Context LLM Inference Acceleration
Haoyun Jiang, Haolin Li, Jianwei Zhang +7
Large language models (LLMs) have demonstrated strong capabilities in handling long-context tasks, but processing such long contexts remains challenging due to the substantial memo…
D-VR: Degradation-Robust and Distilled Video Restoration with Synergistic Optimization Strategy
Jianfeng Liang, Shaocheng Shen, Botao Xu +2
The integration of diffusion priors with temporal alignment has emerged as a transformative paradigm for video restoration, delivering fantastic perceptual quality, yet the practic…
Variation is the Key: A Variation-Based Framework for LLM-Generated Text Detection
Xuecong Li, Xiaohong Li, Qiang Hu +2
Detecting text generated by large language models (LLMs) is crucial but challenging. Existing detectors depend on impractical assumptions, such as white-box settings, or solely rel…
Long-tailed Recognition with Model Rebalancing
Jiaan Luo, Feng Hong, Qiang Hu +3
Long-tailed recognition is ubiquitous and challenging in deep learning and even in the downstream finetuning of foundation models, since the skew class distribution generally preve…
Deep Learning for MIMO Channel Estimation: Interpretation, Performance, and Comparison
Hu Qiang, Gao Feifei, Zhang Hao +2
Deep learning (DL) has emerged as an effective tool for channel estimation in wireless communication systems, especially under some imperfect environments. However, even with such…