AI RESEARCH
AtelierEval: Agentic Evaluation of Humans & LLMs as Text-to-Image Prompters
arXiv CS.AI
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ArXi:2605.22645v1 Announce Type: new Text-to-image (T2I) systems increasingly rely on upstream prompters, either humans or multimodal large language models (MLLMs), to translate user intent into detailed prompts. Yet current benchmarks fix the prompt and only evaluate T2I models, leaving the prompting proficiency of this upstream component entirely unmeasured. We