Tag: Knowledge Graph
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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…
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Building the Enterprise Intelligence Core with Knowledge Graphs
Executive Takeaways Expanded Insights Organizations today sit on massive amounts of data, spreadsheets, databases, manufacturing systems, quality documents, SOPs, emails, tech transfer packages, PDFs, and more. The challenge isn’t data…