regap-bench/ReGap-Bench
ReGap-Bench ReGap-Bench is the benchmark from Diagnosing the Reference Gap: What Visual Scaffolds Can and Cannot Fix in Multimodal Reasoning. It is a paired reference-intervention benchmark of five visual reasoning tasks. Each scene is rendered under a plain condition and one or more reference conditions (numbering, shading, grid lines), while the scene content, question, and answer stay fixed. Comparing a model's accuracy across conditions isolates the effect of the reference… See the full description on the dataset page: https://huggingface.co/datasets/regap-bench/ReGap-Bench.
| Author / organization | regap-bench |
|---|---|
| Downloads | 0 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 29 October 2026 |
| Last updated at source | 29 October 2026 |
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- 29 Oct 2026 Description: ReGap-Bench ReGap-Bench is the benchmark from Diagnosing the Reference Gap: What Visual Scaffolds Can and Cannot Fix in Multimodal Reasoning (ICLR 2027). It is a paired reference-intervention benchmark of five visual reasoning tasks. Each s → ReGap-Bench ReGap-Bench is the benchmark from Diagnosing the Reference Gap: What Visual Scaffolds Can and Cannot Fix in Multimodal Reasoning. It is a paired reference-intervention benchmark of five visual reasoning tasks. Each scene is rend
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