Topic
Sliders
2 episodes
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Contexts are Never Long Enough: Structured Reasoning for Scalable Question Answering over Long Document Sets
SLIDERS solves the aggregation bottleneck in document question answering by extracting information into a relational database and reasoning over structured data via SQL instead of concatenating chunks. It uses data reconciliation to fix duplicates and inconsistencies, outperforming GPT-4 on long-context benchmarks and scaling to 36M tokens.
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Contexts are Never Long Enough: Structured Reasoning for Scalable Question Answering over Long Document Sets
A new QA framework called SLIDERS handles document sets that outgrow any context window by storing extracted facts in a relational database and reasoning over them with SQL.