most citedDSGPT: Domain-Specific Generative Pre-Training of Transformers for Text Generation in E-commerce Title and Review Summarization

14 citations · 16 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Dynamic Disentangled Fusion Network for RGBT Tracking

Chenglong Li, Tao Wang, Zhaodong Ding +2

RGBT tracking usually suffers from various challenging factors of low resolution, similar appearance, extreme illumination, thermal crossover and occlusion, to name a few. Existing…

cs.CV20241 cited

Cross-modulated Attention Transformer for RGBT Tracking

Yun Xiao, Jiacong Zhao, Andong Lu +4

Existing Transformer-based RGBT trackers achieve remarkable performance benefits by leveraging self-attention to extract uni-modal features and cross-attention to enhance multi-mod…

cs.IR2021

Intelligent Online Selling Point Extraction for E-Commerce Recommendation

Xiaojie Guo, Shugen Wang, Hanqing Zhao +8

In the past decade, automatic product description generation for e-commerce have witnessed significant advancement. As the services provided by e-commerce platforms become diverse,…

cs.CL20211 cited

Automatic Product Copywriting for E-Commerce

Xueying Zhang, Yanyan Zou, Hainan Zhang +10

Product copywriting is a critical component of e-commerce recommendation platforms. It aims to attract users' interest and improve user experience by highlighting product character…

cs.CL202114 cited

DSGPT: Domain-Specific Generative Pre-Training of Transformers for Text Generation in E-commerce Title and Review Summarization

Xueying Zhang, Yunjiang Jiang, Yue Shang +5

We propose a novel domain-specific generative pre-training (DS-GPT) method for text generation and apply it to the product titleand review summarization problems on E-commerce mobi…