26 citations · 27 across the 5 of their papers we have counts for
5 papers
One Token Is Enough: Improving Diffusion Language Models with a Sink Token
Zihou Zhang, Zheyong Xie, Li Zhong +3
Diffusion Language Models (DLMs) have emerged as a compelling alternative to autoregressive approaches, enabling parallel text generation with competitive performance. Despite thes…
Clip4Retrofit: Enabling Real-Time Image Labeling on Edge Devices via Cross-Architecture CLIP Distillation
Li Zhong, Ahmed Ghazal, Jun-Jun Wan +4
Foundation models like CLIP (Contrastive Language-Image Pretraining) have revolutionized vision-language tasks by enabling zero-shot and few-shot learning through cross-modal align…
MMHMER:Multi-viewer and Multi-task for Handwritten Mathematical Expression Recognition
Kehua Chen, Haoyang Shen, Lifan Zhong +1
Handwritten Mathematical Expression Recognition (HMER) methods have made remarkable progress, with most existing HMER approaches based on either a hybrid CNN/RNN-based with GRU arc…
A Template-guided Hybrid Pointer Network for Knowledge-basedTask-oriented Dialogue Systems
Dingmin Wang, Ziyao Chen, Wanwei He +3
Most existing neural network based task-oriented dialogue systems follow encoder-decoder paradigm, where the decoder purely depends on the source texts to generate a sequence of wo…
A Reinforced Topic-Aware Convolutional Sequence-to-Sequence Model for Abstractive Text Summarization
Li Wang, Junlin Yao, Yunzhe Tao +3
In this paper, we propose a deep learning approach to tackle the automatic summarization tasks by incorporating topic information into the convolutional sequence-to-sequence (ConvS…