✨Can Visual Input Be Compressed? A Visual Token Compression Benchmark for Large Multimodal Models

📝 Summary:
UniPruneBench is a new benchmark for evaluating visual token pruning in large multimodal models LMMs. It standardizes evaluation across tasks and models, revealing that random pruning is a strong baseline and OCR is most sensitive to pruning. The pruning ratio greatly impacts performance.

🔹 Publication Date: Published on Nov 4

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.02650
• PDF: https://arxiv.org/pdf/2511.02650
• Project Page: https://uniprunebench-lmm.github.io/
• Github: https://github.com/TianfanPeng/VLMUniPruneBench

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