StillMe: A Practical Framework for Building Transparent, Validated Retrieval-Augmented Generation Systems
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StillMe is a transparency-first framework designed to transform commercial LLMs into fully auditable systems without any model training or labeled datasets. This paper introduces: - A multi-layer Validation Chain to reduce hallucination - A continuous learning pipeline updating every 4 hours (RSS, arXiv, CrossRef, Wikipedia) Evaluation Results (Updated): - Accuracy: 35% (20-question subset), 13.5% (full 790-question evaluation) - Citation Rate: 91.1% (full evaluation) - Transparency Score: 85.8% (full evaluation) - Validation Pass Rate: 93.9% (full evaluation)
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Zenodo创建时间：
2025-11-28
