9 citations · 16 across the 4 of their papers we have counts for
4 papers
Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline
Zangwei Zheng, Xiaozhe Ren, Fuzhao Xue +3
Large language models (LLMs) have revolutionized the field of AI, demonstrating unprecedented capacity across various tasks. However, the inference process for LLMs comes with sign…
MMANet: Margin-aware Distillation and Modality-aware Regularization for Incomplete Multimodal Learning
Shicai Wei, Yang Luo, Chunbo Luo
Multimodal learning has shown great potentials in numerous scenes and attracts increasing interest recently. However, it often encounters the problem of missing modality data and t…
Binary Classification with Positive Labeling Sources
Jieyu Zhang, Yujing Wang, Yaming Yang +2
To create a large amount of training labels for machine learning models effectively and efficiently, researchers have turned to Weak Supervision (WS), which uses programmatic label…
Deep Learning Based Automatic Modulation Recognition: Models, Datasets, and Challenges
Fuxin Zhang, Chunbo Luo, Jialang Xu +2
Automatic modulation recognition (AMR) detects the modulation scheme of the received signals for further signal processing without needing prior information, and provides the essen…