IntJudge/UniHall

UniHall: Universal Hallucination Fuzzing for MLLMs UniHall is a systematic benchmark for evaluating hallucination in Multimodal Large Language Models (MLLMs). It integrates a comprehensive benchmark with Self-Adaptive Multimodal Fuzzing (SAMF) to rigorously stress-test models against hallucinations in evolving real-world scenarios. 🚀 Key Features 1. Fine-Grained Benchmark & Taxonomy UniHall is grounded in a unified taxonomy covering three critical… See the full description on the dataset page: https://huggingface.co/datasets/IntJudge/UniHall.

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