Zesearch/

HALP-Bench

HALP-Bench is the evaluation benchmark released with the paper HALP: Detecting Hallucinations in Vision-Language Models without Generating a Single Token (EACL 2026). It aggregates 10,000 image-question pairs drawn from six public sources into a single, uniformly-formatted set with stable image IDs.

📄 Paper (ACL Anthology): https://aclanthology.org/2026.eacl-long.287/ 📄 Preprint (arXiv): https://arxiv.org/abs/2603.05465 💻 Code: https://github.com/Zesearch/HALP… See the full description on the dataset page: https://huggingface.co/datasets/Zesearch/HALP-Bench.