DeSQ decomposes questions into atomic constraints, maps them to SPARQL fragments with placeholders, grounds the placeholders, and assembles complete queries, outperforming prior methods on four of five benchmarks.
Kag-thinker: Interactive thinking and deep reasoning in llms via knowledge-augmented generation, 2025
2 Pith papers cite this work. Polarity classification is still indexing.
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Proposes an agentic RAG framework with knowledge graphs and LLMs to produce model-grounded economic reports, evaluated on U.S. inflation persistence and commercial real estate stress-test narratives.
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DeSQ: Decomposition-based SPARQL Query Generation
DeSQ decomposes questions into atomic constraints, maps them to SPARQL fragments with placeholders, grounds the placeholders, and assembles complete queries, outperforming prior methods on four of five benchmarks.