{"data":{"id":"4967bb75-4d0d-4617-ad19-f97672d0bfcb","title":"SIC-Autonomous Ensemble: Large Language Model Hallucination Mitigation Framework Using Self Iterative Contradiction and Optimal Ensembling","summary":"Researchers propose SIC-AE, a framework that reduces hallucination in large language models by running self-correcting loops on each component model, then ranking candidate responses and fusing the top ones through an autonomous weight update mechanism. Built on low-parameter open-source LLMs, it reports accuracy gains of 1-5% over state-of-the-art self-refinement techniques and a further 1-8% from adding the ensemble across three benchmarks covering factual and logical reasoning questions.","solution":"N/A -- no mitigation discussed in source.","labels":["research","safety"],"sourceUrl":"http://ieeexplore.ieee.org/document/11663303","publishedAt":"2026-08-21T13:18:00.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":[],"affectedVendorsRaw":["llama-2-70B"],"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":"2026-08-21T13:18:00.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":null,"aiComponentTargeted":null,"llmSpecific":true,"classifierConfidence":0.9,"researchCategory":"peer_reviewed","atlasIds":null}}