2 citations · 7 across the 8 of their papers we have counts for
7 papers
Hierarchical Multimodal Pre-training for Visually Rich Webpage Understanding
Hongshen Xu, Lu Chen, Zihan Zhao +4
The growing prevalence of visually rich documents, such as webpages and scanned/digital-born documents (images, PDFs, etc.), has led to increased interest in automatic document und…
A BiRGAT Model for Multi-intent Spoken Language Understanding with Hierarchical Semantic Frames
Hongshen Xu, Ruisheng Cao, Su Zhu +4
Previous work on spoken language understanding (SLU) mainly focuses on single-intent settings, where each input utterance merely contains one user intent. This configuration signif…
ASTormer: An AST Structure-aware Transformer Decoder for Text-to-SQL
Ruisheng Cao, Hanchong Zhang, Hongshen Xu +4
Text-to-SQL aims to generate an executable SQL program given the user utterance and the corresponding database schema. To ensure the well-formedness of output SQLs, one prominent a…
ACT-SQL: In-Context Learning for Text-to-SQL with Automatically-Generated Chain-of-Thought
Hanchong Zhang, Ruisheng Cao, Lu Chen +2
Recently Large Language Models (LLMs) have been proven to have strong abilities in various domains and tasks. We study the problem of prompt designing in the text-to-SQL task and a…
CSS: A Large-scale Cross-schema Chinese Text-to-SQL Medical Dataset
Hanchong Zhang, Jieyu Li, Lu Chen +5
The cross-domain text-to-SQL task aims to build a system that can parse user questions into SQL on complete unseen databases, and the single-domain text-to-SQL task evaluates the p…
On the Structural Generalization in Text-to-SQL
Jieyu Li, Lu Chen, Ruisheng Cao +5
Exploring the generalization of a text-to-SQL parser is essential for a system to automatically adapt the real-world databases. Previous works provided investigations focusing on l…