TimeFore

ODTQA-FoRe: Open-Domain Tabular QA Dataset for Future Data Forecasting and Reasoning

The paper introduces ODTQA-FoRe, a new benchmark dataset for open-domain tabular question answering focused on time-series forecasting and forecast-based reasoning using real estate data. The authors also propose TimeFore, an LLM agent framework that decomposes the task into three roles: a SQL-generating Retriever, a Forecaster that calls external time-series models, and an Analyzer that synthesizes results. The work targets a gap in existing tabular QA systems, which typically cannot perform future-oriented numerical prediction. Experiments demonstrate TimeFore's effectiveness on the new benchmark.