BannerBench: Benchmarking Vision Language Models for Multi-Ad Selection with Human Preferences (2025.findings-emnlp)
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| Challenge: | Web banner advertisements are often selected manually because of human preferences . a new benchmark evaluates the degree of alignment with human preferences in two tasks . |
| Approach: | a benchmark was developed to evaluate the human preference-driven banner selection process using vision-language models. |
| Outcome: | The proposed benchmark assesses the degree of alignment with human preferences in two tasks using vision-language models. |
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