Haihua Chen

TabDSR: Decompose, Sanitize, and Reason for Complex Numerical Reasoning in Tabular Data

Complex reasoning over tabular data is crucial in real-world data analysis, yet large language models (LLMs) often underperform due to complex queries, noisy data, and limited numerical capabilities. To address these issues, we propose TabDSR, a three-agent framework consisting of: (1) a query decom