Papers by Yuze Wu
Can MLLMs Reason Beyond Language? VisReason: A Comprehensive Benchmark for Vision-Centric Reasoning (2026.findings-acl)
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| Challenge: | Recent advances in multimodal large language models demonstrate strong performance on visual reasoning benchmarks. |
| Approach: | They propose a benchmark for vision-centric reasoning that integrates visual and textual information for non-trivial reasoning. |
| Outcome: | The proposed benchmark exposes gaps between humans and current MLLMs and reveals limited benefits from test-time reasoning strategies. |