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Moderate-scale evaluation reveals preliminary findings on large reasoning models, suggesting uses in vision language tasks.
We conduct a moderate-scale contamination-free (to some extent) evaluation of current large reasoning models (LRMs) with some preliminary findings. We also release ROME, our evaluation benchmark for vision language models intended to test reasoning from visual clues. We attach links to the benchmark, evaluation data, and other updates on this website: https://flageval-baai.github.io/LRM-Eval/
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Qin et al. (2025) studied this question.
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