Eugene Yan • 6/22/2025

Evaluating Long-Context Question & Answer Systems

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This article analyzes the complexities of evaluating long-context Q&A systems, covering issues like information overload, positional variance, and multi-hop reasoning. It details key metrics (faithfulness, helpfulness), dataset creation, and assessment methods using human and LLM evaluators across various benchmarks and document types.

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#benchmarking #Information Retrieval #LLM Evaluation
Evaluating Long-Context Question & Answer Systems

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