no code implementations • 23 Feb 2024 • Zhisheng Lin, Han Fu, Chenghao Liu, Zhuo Li, Jianling Sun
However, current approaches typically either train adapters on individual tasks or distill shared knowledge from source tasks, failing to fully exploit task-specific knowledge and the correlation between source and target tasks.
no code implementations • 23 Oct 2023 • Mouxiang Chen, Lefei Shen, Han Fu, Zhuo Li, Jianling Sun, Chenghao Liu
In this paper, we introduce a universal calibration methodology for the detection and adaptation of CDS with a trained Transformer model.
no code implementations • CVPR 2020 • Han Fu, Rui Wu, Chenghao Liu, Jianling Sun
Nowadays, driven by the increasing concern on diet and health, food computing has attracted enormous attention from both industry and research community.
no code implementations • 11 Feb 2020 • Han Fu, Yunyu Bai, Zhuo Li, Jun Shen, Jianling Sun
Paper documents are widely used as an irreplaceable channel of information in many fields, especially in financial industry, fostering a great amount of demand for systems which can convert document images into structured data representations.
no code implementations • ACL 2019 • Han Fu, Chenghao Liu, Jianling Sun
Neural Machine Translation (NMT) has achieved notable success in recent years.