A schema-summarization and code-generation pipeline, TableReasoner, won first place on both SemEval-2025 Task 8 subtasks, with 93.87% and 91.76% accuracy.
Describe in detail the algorithm steps as much as possible, including Question analysis, table data format parsing method and code logic description
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TableReasoner: Advancing Table Reasoning Framework with Large Language Models
A schema-summarization and code-generation pipeline, TableReasoner, won first place on both SemEval-2025 Task 8 subtasks, with 93.87% and 91.76% accuracy.