Object HalBench
Emerging4papers using it
2025first seen
Object HalBench is a benchmark dataset used to evaluate the performance of vision-language models in generating accurate object attributes and relationships, focusing on reducing hallucinations in their outputs.
Papers using Object HalBench (4)
- Self-Consistency as a Free Lunch: Reducing Hallucinations in Vision-Language Models via Self-ReflectionMitigating Hallucinations in Large Vision-Language Models via Entity-Centric Multimodal Preference OptimizationAdaViP: Aligning Multi-modal LLMs via Adaptive Vision-enhanced
Preference OptimizationCHiP: Cross-modal Hierarchical Direct Preference Optimization for
Multimodal LLMs