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ENTITY Freebase

Freebase

PulseAugur coverage of Freebase — every cluster mentioning Freebase across labs, papers, and developer communities, ranked by signal.

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RECENT · PAGE 1/1 · 6 TOTAL
  1. TOOL · CL_167590 ·

    New GRISP method uses SLM for SPARQL question answering over knowledge graphs

    Researchers have developed GRISP, a new method for question answering over knowledge graphs using a fine-tuned small language model (SLM). GRISP generates a SPARQL query skeleton from natural language questions and then…

  2. RESEARCH · CL_147476 ·

    SAGA framework enhances agentic text-to-SPARQL generation with schema awareness

    Researchers have introduced SAGA, a novel framework designed to improve agentic text-to-SPARQL generation for knowledge base question answering. SAGA addresses the issue of "type-blind grounding" in existing language mo…

  3. TOOL · CL_108034 ·

    New framework uses LLMs to explain complex knowledge graph rules

    Researchers have developed Rule2Text, a framework designed to make knowledge graph rules more understandable by using large language models to generate natural language explanations. The framework was tested on various …

  4. TOOL · CL_93533 ·

    New KGQA Research Highlights Provenance Gap Over Correctness

    A new research paper published on arXiv explores the challenges in Knowledge Graph Question Answering (KGQA), specifically focusing on incomplete knowledge graphs where missing information needs to be inferred. The stud…

  5. RESEARCH · CL_51286 ·

    AI models show 'peak-then-collapse' in knowledge-graph tool use

    A new research paper explores the "peak-then-collapse" phenomenon in AI models using knowledge-graph tools. The study found that while models like Qwen2.5-7B-Instruct could improve their tool-use accuracy, they would of…

  6. TOOL · CL_32669 ·

    COREKG method creates personalized knowledge graph summaries

    Researchers have developed COREKG, a novel method for creating personalized summaries of large knowledge graphs. This approach uses coreset theory and sensitivity-based importance sampling to select a relevant subset of…