✨Multi-Crit: Benchmarking Multimodal Judges on Pluralistic Criteria-Following
📝 Summary:
Multi-Crit evaluates multimodal models as judges on following diverse criteria using novel metrics. Findings reveal current models struggle with consistent adherence and flexibility to pluralistic criteria. This highlights gaps in capabilities and lays a foundation for building reliable AI evalua...
🔹 Publication Date: Published on Nov 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.21662
• PDF: https://arxiv.org/pdf/2511.21662
• Project Page: https://multi-crit.github.io/
• Github: https://multi-crit.github.io/
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For more data science resources:
✓ https://t.iss.one/DataScienceT
#MultimodalAI #AIEvaluation #BenchmarkingAI #AIJudges #MachineLearning
📝 Summary:
Multi-Crit evaluates multimodal models as judges on following diverse criteria using novel metrics. Findings reveal current models struggle with consistent adherence and flexibility to pluralistic criteria. This highlights gaps in capabilities and lays a foundation for building reliable AI evalua...
🔹 Publication Date: Published on Nov 26
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.21662
• PDF: https://arxiv.org/pdf/2511.21662
• Project Page: https://multi-crit.github.io/
• Github: https://multi-crit.github.io/
==================================
For more data science resources:
✓ https://t.iss.one/DataScienceT
#MultimodalAI #AIEvaluation #BenchmarkingAI #AIJudges #MachineLearning