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llms-benchmarking

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SuperBruceJia / Awesome-Mixture-of-Experts

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Awesome Mixture of Experts (MoE): A Curated List of Mixture of Experts (MoE) and Mixture of Multimodal Experts (MoME)

artificial-intelligence sparse moe load-balancing multimodal-learning mixture-of-experts mome gating-network foundation-models large-language-models llms large-language-model large-vision-language-models expert-network llms-reasoning llms-benchmarking mixtrure-of-multimodal-experts sparse-moe sparse-mixture-of-experts sparse-mixture-of-multimodal-experts
  • Updated Jul 13, 2026

RaptorMai / MLLM-CompBench

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[NeurIPS'25] MLLM-CompBench evaluates the comparative reasoning of MLLMs with 40K image pairs and questions across 8 dimensions of relative comparison: visual attribute, existence, state, emotion, temporality, spatiality, quantity, and quality. CompBench covers diverse visual domains, including animals, fashion, sports, and scenes

benchmark reasoning vision-and-language multimodal-deep-learning human-annotation foundation-models large-language-models llms vision-language-model multimodal-large-language-models evaluation-llms llms-benchmarking neurips-2024
  • Updated Oct 10, 2026
  • Jupyter Notebook

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