3 papers
cs.AI2026
Bad Seeing or Bad Thinking? Rewarding Perception for Multimodal Reasoning
Haozhe Wang, Qixin Xu, Changpeng Wang +4
Achieving robust perception-reasoning synergy is a central goal for advanced Vision-Language Models (VLMs). Recent advancements have pursued this goal via architectural designs or…
cs.CV2026
PanoWorld: Towards Spatial Supersensing in 360 Panorama World
Changpeng Wang, Xin Lin, Junhan Liu +5
Multimodal large laboratory models (MLLMs) still struggle with spatial understanding under the dominant perspective-image paradigm, which inherits the narrow field of view of human…
cs.CV2025
From Illusion to Intention: Visual Rationale Learning for Vision-Language Reasoning
Changpeng Wang, Haozhe Wang, Xi Chen +6
Recent advances in vision-language reasoning underscore the importance of thinking with images, where models actively ground their reasoning in visual evidence. Yet, prevailing fra…