Tag: SPARQL
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Agentic Reinforcement Learning for Improving Knowledge Graph Question Answering Reliability
Large language models struggle with one-shot SPARQL generation for multi-hop knowledge graph questions, but training them as agentic systems with reinforcement learning enables reliable, iterative query refinement using execution feedback.…
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SPARQL-LLM: From Natural Language to Executable Knowledge Graph Queries
Translating natural language questions into executable SPARQL queries remains a major barrier to accessing knowledge graphs at scale. While large language models have shown promise in this area, many existing…