16 citations · 39 across the 22 of their papers we have counts for
4 papers · 1 filter
An Empirical Study of NetOps Capability of Pre-Trained Large Language Models
Yukai Miao, Yu Bai, Li Chen +10
Nowadays, the versatile capabilities of Pre-trained Large Language Models (LLMs) have attracted much attention from the industry. However, some vertical domains are more interested…
How Does Diffusion Influence Pretrained Language Models on Out-of-Distribution Data?
Huazheng Wang, Daixuan Cheng, Haifeng Sun +5
Transformer-based pretrained language models (PLMs) have achieved great success in modern NLP. An important advantage of PLMs is good out-of-distribution (OOD) robustness. Recently…
Adaptive DNN Surgery for Selfish Inference Acceleration with On-demand Edge Resource
Xiang Yang, Dezhi Chen, Qi Qi +4
Deep Neural Networks (DNNs) have significantly improved the accuracy of intelligent applications on mobile devices. DNN surgery, which partitions DNN processing between mobile devi…
Decoupled Iterative Refinement Framework for Interacting Hands Reconstruction from a Single RGB Image
Pengfei Ren, Chao Wen, Xiaozheng Zheng +5
Reconstructing interacting hands from a single RGB image is a very challenging task. On the one hand, severe mutual occlusion and similar local appearance between two hands confuse…