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LLM MOE models for RAG search Download report
Contents
Report
Overview and abstractIntroductionMaterials and setupMathematical frameworkResultsTechnical analysisSpeed and reasoning-disabled inferencePrompting and alternative modelsRAG integrationLimitations and conclusion
Appendices
Appendix A: Dataset-level resultsAppendix B: Comparability and provenanceAppendix C: Prompt and runtime recordReferences
Coverage analysis workbookEvaluation prompt
LLM MOE models for RAG search

Appendix B: Comparability and provenance

Report inclusion and provenance audit.

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Study corpus: 2,484 CV PDFs in 24 predefined categories. July 2026.

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