Papers by David Herel
ComicVQA: A Benchmark for Visual Reasoning in Multimodal LLMs (2026.findings-acl)
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| Challenge: | ComicVQA is a visual reasoning benchmark for comics. |
| Approach: | They propose a comics-based benchmark for evaluating MLLMs on visual reasoning. |
| Outcome: | The proposed model achieves 62.6% accuracy on Missing Panel Prediction and 46.4% on Panel Sorting, compared to open-source models. |