2 papers
cs.CV2026
Rotated, but How Far? Diagnosing and Improving Object-Rotation Reasoning in VLMs
Zhaochen Wang, Yujun Cai, Huangbo Zou +4
Vision-language models (VLMs) can detect that an object has rotated across views, but cannot reliably tell by how much. We introduce OR-Bench, a fine-grained benchmark for object-r…
cs.CV2026
How Far Are We from Removing the Visual Encoder? Scaling Laws for Encoder-Free Multimodal Pretraining
Lin Chen, Bolin Ni, Qi Yang +6
Most modern multimodal large language models (MLLMs) build on a pretrained visual encoder that provides a strong visual prior. Encoder-free MLLMs instead learn visual representatio…