{"data":{"id":"ae8de5b4-c5ee-47f5-9a64-cceb1654af4c","title":"TUBench: Benchmark Large Vision-Language Models on Trustworthiness With Unanswerable Questions","summary":"Researchers introduce TUBench, a benchmark that tests Large Vision-Language Models on unanswerable questions built from natural images, code snippets, geometry diagrams and statistical tables. They evaluated 39 foundational models, and GPT-5 reached the highest average accuracy at 83.2% in judging answerability. Manual analysis found GPT-5 gave both a correct answer and explanation in only 63% of cases, with hallucinations causing 87.9% of its incorrect explanations.","solution":"N/A -- no mitigation discussed in source.","labels":["research","safety"],"sourceUrl":"http://ieeexplore.ieee.org/document/11659784","publishedAt":"2026-08-20T13:16:33.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"info","attackType":[],"issueType":"research","affectedPackages":null,"affectedPackageNames":null,"affectedPackageRefs":null,"affectedVendors":["OpenAI"],"affectedVendorsRaw":["GPT-5","Large Vision-Language Models (LVLMs)"],"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":"2026-08-20T13:16:33.000Z","fixReleasedAt":null,"daysToFix":null,"fixCheckedAt":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity"],"aiComponentTargeted":"model","llmSpecific":true,"classifierConfidence":0.9,"researchCategory":"peer_reviewed","atlasIds":null}}