8 citations · 15 across the 4 of their papers we have counts for
4 papers
MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL
Bing Wang, Changyu Ren, Jian Yang +8
Recent LLM-based Text-to-SQL methods usually suffer from significant performance degradation on "huge" databases and complex user questions that require multi-step reasoning. Moreo…
QURG: Question Rewriting Guided Context-Dependent Text-to-SQL Semantic Parsing
Linzheng Chai, Dongling Xiao, Jian Yang +5
Context-dependent Text-to-SQL aims to translate multi-turn natural language questions into SQL queries. Despite various methods have exploited context-dependence information implic…
CQR-SQL: Conversational Question Reformulation Enhanced Context-Dependent Text-to-SQL Parsers
Dongling Xiao, Linzheng Chai, Qian-Wen Zhang +3
Context-dependent text-to-SQL is the task of translating multi-turn questions into database-related SQL queries. Existing methods typically focus on making full use of history cont…
Enhancing Label Correlation Feedback in Multi-Label Text Classification via Multi-Task Learning
Ximing Zhang, Qian-Wen Zhang, Zhao Yan +2
In multi-label text classification (MLTC), each given document is associated with a set of correlated labels. To capture label correlations, previous classifier-chain and sequence-…