Kardelen Subasi, Jarosław A. Chudziak · 2026 · arXiv
DOI: 10.48550/arXiv.2610.29669 · open-access PDF
LLM生成的记录越来越多的人口生产信息系统,在那里它们被视为数据资产,与运营数据库的记录相同的质量期望。单个这样的记录可以同时满足并违反质量规则:与幻觉相邻的地理事实,与僵局相邻的有用的答案。经典数据清理无法解决这一问题,因为两项判断在同一时间段内不兼容;一个LLM法官也不能,因为它共享产生冲突的培训偏见。
Machine translation (Meta M2M100); the English original follows.
LLM-generated records increasingly populate production information systems where they are treated as data assets subject to the same quality expectations as records from operational databases. A single such record can simultaneously satisfy and violate a quality rule: a grounded fact adjacent to a hallucination, a useful answer adjacent to a stereotype. Classical data cleaning cannot resolve this because the two judgments are incompatible over the same span; a single LLM judge cannot either, since it shares the training biases that produced the conflict. Existing interventions such as prompt e
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