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GitHub Repository
UQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination detection
1,166 starsPython
UQLM – Closed-book hallucination detection with UQ
by virenbajaj·Jun 1, 2026·3 points·1 comment
AI Analysis
●●SolidNiche GemSolve My Problem
Peer-reviewed LLM hallucination detector using uncertainty quantification, published in JMLR and TMLR.
Strengths
- •Published in JMLR and TMLR with peer-reviewed uncertainty quantification research backing
- •Multiple scorer types with different latency and cost tradeoffs for various deployment scenarios
- •1.2k GitHub stars and active maintenance from CVS Health with Discord community support
Weaknesses
- •Hallucination detection is increasingly crowded with many commercial and open-source alternatives
- •Uncertainty quantification is established research—implementation rather than novel architecture
Category
Target Audience
ML engineers, AI application developers, researchers working with LLMs
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