agentic language models 1knowledge base question answering 1schema-aware grounding 1semantic parsing 1text-to-sparql generation 1
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cs.AI2026
SAGA: Schema-Aware Grounding for Agentic Text-to-SPARQL Generation
Yiming Zhang, Koji Tsuda
The paper introduces SAGA, a training‑free framework that uses schema constraints to guide the grounding of natural‑language questions into SPARQL queries, improving the accuracy o…
cs.AI2026
ProvMind: Provenance-grounded reasoning for materials synthesis
Yiming Zhang, Ryo Tamura, Koji Tsuda
Materials process optimization requires reasoning over routes, conditions, tools and causal dependencies, yet most computational formulations flatten synthesis procedures into text…