Hiroto Otake

BannerBench: Benchmarking Vision Language Models for Multi-Ad Selection with Human Preferences

Web banner advertisements, which are placed on websites to guide users to a targeted landing page (LP), are still often selected manually because human preferences are important in selecting which ads to deliver. To automate this process, we propose a new benchmark, BannerBench, to evaluate the huma