SLIDERS converts long document sets into a reconciled relational database for SQL-based reasoning, outperforming GPT-4.1 by 6.6 points on standard benchmarks and by 19-32 points on new multi-million-token benchmarks.
**CRITICAL**: If you identified ANY matches (marked as "MATCH") in your verbalization, you MUST create a corresponding extraction row in the tables array for EACH match
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Contexts are Never Long Enough: Structured Reasoning for Scalable Question Answering over Long Document Sets
SLIDERS converts long document sets into a reconciled relational database for SQL-based reasoning, outperforming GPT-4.1 by 6.6 points on standard benchmarks and by 19-32 points on new multi-million-token benchmarks.