作者位次 #2/4ACL 2026Findings· Findings of ACL
Evian: Towards Explainable Visual Instruction-tuning Data Auditing
Zimu Jia · Mingjie Xu · Andrew Estornell · Jiaheng Wei
摘要
The efficacy of Large Vision-Language Models (LVLMs) is critically dependent on the quality of their training data, requiring a precise balance between visual fidelity and instruction-following capability. Existing datasets, however, are plagued by inconsistent quality, and current data filtering...