SNU-ISLAB/MVH-Bench

MVH-Bench MVH-Bench is the benchmark introduced in: Revealing Multi-View Hallucination in Large Vision-Language ModelsWooje Park*, Insu Lee*, Soohyun Kim, Jaeyun Jang, Minyoung Noh, Kyuhong Shim, and Byonghyo Shim (* Equal contribution)EMNLP 2026 Main Paper MVH-Bench is a multi-view visual question answering benchmark designed to evaluate Multi-View Hallucination (MVH) in Large Vision-Language Models (LVLMs). The dataset contains 4,800 question-answer pairs organized into 800… See the full description on the dataset page: https://huggingface.co/datasets/SNU-ISLAB/MVH-Bench.

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