✨ProactiveBench: Benchmarking Proactiveness in Multimodal Large Language Models

📝 Summary:
This paper introduces ProactiveBench to measure if MLLMs can proactively ask for user help on challenging tasks. It finds MLLMs generally lack this proactiveness, and conversational history can even hinder it. However, reinforcement learning shows promise for teaching models this crucial collabor...

🔹 Publication Date: Published on Mar 19

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2603.19466
• PDF: https://arxiv.org/pdf/2603.19466
• Project Page: https://huggingface.co/datasets/tdemin16/ProactiveBench
• Github: https://github.com/tdemin16/proactivebench

✨ Datasets citing this paper:
• https://huggingface.co/datasets/tdemin16/ProactiveBench

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#MLLMs #AIProactiveness #BenchmarkingAI #ReinforcementLearning #LargeLanguageModels