tdemin16/ProactiveBench

ProactiveBench (ECCV 26) Thomas De Min, Subhankar Roy, Stéphane Lathuilière, Elisa Ricci, and Massimiliano Mancini Abstract. Effective collaboration begins with knowing when to ask for help. For example, when trying to identify an occluded object, a human would ask someone to remove the obstruction. Can MLLMs exhibit a similar “proactive” behavior by requesting simple user interventions? To investigate this, we introduce ProactiveBench, a benchmark built from seven repurposed… See the full description on the dataset page: https://huggingface.co/datasets/tdemin16/ProactiveBench.

<iframe src="https://silytics.si/embed/item/ea3e922d-0d73-4eb1-874d-fdeeea046707" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.