3 papers
cs.CV2026
BUS: Brain-Inspired Unsupervised Self-Reflection via Backward Prediction for Multimodal Reasoning
Jiacheng Yang, Tongying Xiao, Yunkai Dang +7
Current Vision-Language Models (VLMs) often struggle to handle complex visual tasks that require consistent and fine-grained reasoning. Recent methods aim to train models to facili…
cs.AI2026
Understanding and Enforcing Weight Disentanglement in Task Arithmetic
Shangge Liu, Yuehan Yin, Lei Wang +5
Task arithmetic provides an efficient, training-free way to edit pre-trained models, yet lacks a fundamental theoretical explanation for its success. The existing concept of ``weig…
cs.CV2026
HART: High-Resolution Annotation-Free Reasoning Technique through a Closed-loop Framework
Jiacheng Yang, Anqi Chen, Yunkai Dang +5
Current Large Multimodal Models (LMMs) struggle with high-resolution visual inputs during the reasoning process, as the number of image tokens increases quadratically with resoluti…