arXiv (OAI Expanded)
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A Framework for Generating Valid Context-Specific Benchmarks through Expert Guidance
This paper presents an end-to-end approach for generating context-specific large language model (LLM) benchmark datasets by combining expert input with synthetic data generation. Existing benchmark construction methods often trade off validity and scalability: datasets designed with domain experts c
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