作者位次 #3/6ACL 2026Findings· Findings of ACL
CRAFTQA : A Code-Driven Adaptive Framework for Complex Structured Data Reasoning
Chengtao Gan · Zhiqiang Liu · Long Jin · Yushan Zhu · Lei Liang · Wen Zhang
摘要
Real-world scenarios involve massive heterogeneous structured data (e.g., tables, knowledge graphs), making effective reasoning over such diverse data increasingly important. Unified structured data question answering has emerged as a prominent research trend, aiming to answer natural language qu...