MiSCHiEF: A Benchmark in Minimal-Pairs of Safety and Culture for Holistic Evaluation of Fine-Grained Image-Caption Alignment (2026.eacl-short)
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Sagarika Banerjee, Tangatar Madi, Advait Swaminathan, Jolie Nguyen, Shivank Garg, Kevin Zhu, Vasu Sharma
| Challenge: | Fine-grained image-caption alignment is crucial for vision-language models in socially critical contexts. |
| Approach: | They present a benchmarking dataset for fine-grained image-caption alignment in safety and culture contexts. |
| Outcome: | The proposed benchmarks show that models perform better at confirming correct pairs than rejecting incorrect ones on dual alignment tasks. |
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