ARTFEED — Contemporary Art Intelligence

SLIDERS: Structured Reasoning for Scalable QA over Long Documents

ai-technology · 2026-04-27

A team of researchers has introduced SLIDERS, a novel framework designed for answering questions across extensive document collections. This system extracts key information into a relational database, facilitating scalable reasoning through SQL rather than relying on concatenated text. To maintain overall coherence, a data reconciliation phase employs provenance and extraction ratios. This innovative method effectively tackles the aggregation limitations found in chunk-based approaches.

Key facts

  • arXiv:2604.22294v1
  • SLIDERS framework for question answering
  • Extracts information into relational database
  • Uses SQL for reasoning
  • Includes data reconciliation stage
  • Addresses aggregation bottleneck
  • Designed for long document collections
  • Provenance and extraction ration used

Entities

Sources