Jia-Xin Zhuang

TruthLens: Object Hallucination Detection via Self-Evaluating Truthfulness Scores in LVLMs

TruthLens is a self-evaluation framework that teaches the LM head to expose a per-object truthfulness signal without any auxiliary model or additional inference cost, and generalizes effectively to benchmarks with substantially larger label spaces.