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  1. Home
  2. /Repositories
  3. /cvs-health/uqlm
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repoGitHubTrust 82 · PrimaryPublished 22d agoLive · 22d ago

cvs-health/uqlm

UQLM: Uncertainty Quantification for Language Models, is a Python package for UQ-based LLM hallucination detection

Lineage graph

Paper → model → repo connections mined from source citations (Tier-1 exact match).

Why these links exist

Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.

  • PossiblePossibly related (embedding) · 50%Hallucination →
  • PossiblePossibly related (embedding) · 47%Models Produce Hallucinations Because of Probabilistic Training - Let's Data Science →
  • PossiblePossibly related (embedding) · 47%[R] Statistically-Lossless Quantization of Large Language Models →
  • PossiblePossibly related (embedding) · 47%[Paper] Statistically-Lossless Quantization of Large Language Models →

Related to

glossary_termHallucination

Covers

newsModels Produce Hallucinations Because of Probabilistic Training - Let's Data Sciencenews[R] Statistically-Lossless Quantization of Large Language Modelsnews[Paper] Statistically-Lossless Quantization of Large Language Models

Related across the graph

glossary_termHallucinationnews[R] Statistically-Lossless Quantization of Large Language Modelsnews[Paper] Statistically-Lossless Quantization of Large Language ModelsnewsModels Produce Hallucinations Because of Probabilistic Training - Let's Data Science
Knowledge path·GHallucination→N[R] Statistically-Lossless Quantization of Large Language Models→N[Paper] Statistically-Lossless Quantization of Large Language Models→Rcvs-health/uqlm

Topics

ai-evaluationai-safetyconfidence-estimationconfidence-scorehallucinationhallucination-detectionhallucination-evaluationhallucination-mitigationllmllm-evaluation

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Graph trust82Primary
Graph score1188