RyanWW/XModBench
XModBench Benchmarking Cross-Modal Capabilities and Consistency in Omni-Language Models ๐ Accepted at ICLR 2026 What is XModBench? XModBench is the first tri-modal (audio / vision / text) multiple-choice QA benchmark explicitly designed to measure cross-modal consistency โ does an omni-language model give the same correct answer when the same semantic content is presented in different modalities? Each item is a 4-choice question with aโฆ See the full description on the dataset page: https://huggingface.co/datasets/RyanWW/XModBench.
| Author / organization | RyanWW |
|---|---|
| License (as declared) | mit |
| Downloads | 697 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 22 October 2025 |
| Last updated at source | 20 May 2026 |
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- 16 Oct 2026 Description: XModBench Benchmarking Cross-Modal Capabilities and Consistency in Omni-Language Models ๐ Accepted at ICLR 2026 What is XModBench? XModBench is the first tri-modal (audio / vision / text) multiple-choice QA benchmark explicitly designed to โ XModBench Benchmarking Cross-Modal Capabilities and Consistency in Omni-Language Models ๐ Accepted at ICLR 2026 What is XModBench? XModBench is the first tri-modal (audio / vision / text) multiple-choice QA benchmark explicitly designed to
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