CHIRP, a 104-question pairwise benchmark, exposes scaling trends in vision-language models that existing benchmarks miss, and its evaluations correlate better with training loss.
Making the v in vqa matter: Elevating the role of image understanding in visual question answering
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CHIRP: A Fine-Grained Benchmark for Open-Ended Response Evaluation in Vision-Language Models
CHIRP, a 104-question pairwise benchmark, exposes scaling trends in vision-language models that existing benchmarks miss, and its evaluations correlate better with training loss.