{"data":{"id":"a8bf847d-57ec-4d38-8242-c8785d3f4d83","title":"\nUQLM: A Python Package for Uncertainty Quantification in Large Language Models\n","summary":"UQLM is a Python package for detecting hallucinations in Large Language Models using uncertainty quantification (UQ) techniques. It provides a suite of UQ-based scorers that produce response-level confidence scores from 0 to 1, offered as an off-the-shelf library that can be integrated to improve the reliability of LLM outputs.","solution":"N/A -- no mitigation discussed in source.","labels":["research","safety"],"sourceUrl":"\nhttp://jmlr.org/papers/v27/25-1557.html\n","publishedAt":"2026-01-01T00:00:00.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":[],"affectedVendorsRaw":["UQLM","LLM"],"classifierModel":"claude-haiku-5-5","classifierPromptVersion":"v4","summaryPromptVersion":"v2","headline":null,"headlinePromptVersion":null,"cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"epssCheckedAt":null,"kevDateAdded":null,"advisoryAliases":null,"affectedPackagesSource":null,"affectedPackagesCheckedAt":null,"patchAvailable":null,"disclosureDate":"2026-01-01T00:00:00.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["safety"],"aiComponentTargeted":"model","llmSpecific":true,"classifierConfidence":0.9,"researchCategory":"peer_reviewed","atlasIds":null}}