MBA：面向真实世界商业构思的多模态基准与智能体

AI 摘要

研究人员推出了MBA-Bench，这是首个用于训练和评估商业构思智能体的多模态基准，包含六个领域的3万个样本。他们提出了MBA-b和MBA-k模型，通过LoRA微调和组相对策略优化，结合创造性和可行性奖励进行训练，显著优于文本和多模态基线。MBA-b和MBA-k分别比多模态基线提升25.6%和35.8%。

正文节选

MBA: Multimodal Benchmark and Agents for Real-World Business Ideation Abstract Researchers introduce MBA-Bench, a multimodal benchmark for business ideation agents, and propose MBA-b and MBA-k models trained with creativity and feasibility rewards via LoRA fine-tuning and group relative policy optimization, significantly outperforming text-only and multimodal baselines. Agentic systems powered by large language models (LLMs) have opened new opportunities for business ideation. Yet existing appro

发布时间：—

抓取时间：2026-08-13 10:57

来源机构：Hugging Face