Papers by Sagarika Banerjee

1 papers
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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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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