{"author":{"name":"Hongyi Cen","slug":"hongyi-cen","article_count":1,"latest_published_at":"2026-04-28T14:36:58.907+00:00","profile_url":"https://platform.waiboom.ai/authors/hongyi-cen","api_url":"https://platform.waiboom.ai/api/authors/hongyi-cen"},"articles":[{"slug":"atomeval-atomic-evaluation-of-adversarial-claims-in-fact-verification","title":"New Framework Exposes Flaws in Fact-Checking Adversarial Tests","url":"https://platform.waiboom.ai/article/2026/04/28/atomeval-atomic-evaluation-of-adversarial-claims-in-fact-verification","content_type":"research_summary","summary":"Researchers introduce AtomEval, a new evaluation framework that addresses a critical gap in how fact-checking systems are tested against adversarial attacks. Current metrics often fail to detect when adversarial rewrites corrupt the semantic meaning of claims, instead treating surface-level similarity as success. AtomEval decomposes claims into atomic components (subject-relation-object-modifier) and uses Atomic Validity Scoring to catch factual corruption, revealing that stronger language models do not necessarily generate more effective adversarial claims when evaluated rigorously.","published_at":"2026-04-28T14:36:58.907+00:00","updated_at":"2026-05-07T02:19:52.375108+00:00","source":{"url":"https://arxiv.org/abs/2604.07967","name":"ArXiv (cs.AI)"},"featured_image":{"url":"https://cdn.theatlantic.com/thumbor/7r9ksWcEnvTa_CXE9F1BhPNiU5c=/362x0:2522x1620/1200x900/media/img/mt/2025/01/20250108_fb_factcheck2/original.png","alt":null},"categories":[{"name":"Research","slug":"research"},{"name":"AI Safety & Alignment","slug":"ai-safety-alignment"}]}]}