[CVPR'24] HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models
Evaluate how well AI models understand images and context through a specific benchmark.
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Free · no card · unsubscribe anytime[CVPR'24] HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models
HallusionBench has 342 stars on GitHub. It has been forked 9 times. HallusionBench is written mainly in Python. It has been in active development since 2023. HallusionBench is available under the BSD-3-Clause license. Its main topics are benchmark, benchmarks, gpt-4, gpt-4v.
[CVPR'24] HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models
HallusionBench is an open-source project. It is released under the BSD-3-Clause license.
Yes. HallusionBench is free and open source — you can use, modify and self-host it.
HallusionBench is available under the BSD-3-Clause license.
HallusionBench is written mainly in Python.
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