most citedUniSAr: A Unified Structure-Aware Autoregressive Language Model for Text-to-SQL

7 citations · 7 across the 1 of their papers we have counts for

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cs.CL2025

MULTITAT: Benchmarking Multilingual Table-and-Text Question Answering

Xuanliang Zhang, Dingzirui Wang, Keyan Xu +2

Question answering on the hybrid context of tables and text (TATQA) is a critical task, with broad applications in data-intensive domains. However, existing TATQA datasets are limi…

cs.CL2022★ 7 cited

UniSAr: A Unified Structure-Aware Autoregressive Language Model for Text-to-SQL

Longxu Dou, Yan Gao, Mingyang Pan +4

Existing text-to-SQL semantic parsers are typically designed for particular settings such as handling queries that span multiple tables, domains or turns which makes them ineffecti…