Deep Papers LibreEval: The Largest Open Source Benchmark for RAG Hallucination Detection
Apr 18, 2025
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Staleness of Existing Benchmarks
- Existing benchmarks for hallucination detection may be stale as they are likely included in large model training data.
- New evolving datasets are necessary to test models on unseen data for reliable evaluation.
Cost-Effective Fine-Tuned Models
- Use smaller fine-tuned models for hallucination evaluation to reduce costs significantly.
- Release open-source datasets and models to enable replicable and evolving hallucination detection.
LLM Selects Key Web Context
- Used an LLM to identify the most interesting passages from scraped website content for context in dataset generation.
- This selective context helps generate more meaningful question-answer pairs for RAG hallucination detection.