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Researchers introduced Search-on-Graph-R1 (SoGR1), an 8B-parameter model that internalizes knowledge graph navigation through supervised fine-tuning and reinforcement learning, outperforming all froze…

Researchers propose SAGA (Schema-Aware Grounding for Agentic Text-to-SPARQL Generation), a training-free framework that improves agentic semantic parsing for knowledge base question answering by const…