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cs.CV2026

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning

Cheng Tang, Junzhi Ning, Min Cen +9

The paper presents SIVA-RL, a framework that uses sample-wise visual interventions to align sensitivity and invariance in multimodal reinforcement learning models, leading to bette…

cs.CV2026

OmniTraffic: A Controllable Generation Pipeline and Benchmark for Spatio-Temporal Traffic Reasoning

Maonan Wang, Zhengyan Huang, Kemou Jiang +13

Traffic scene understanding requires models to reason beyond object recognition, including lane topology, multi-view geometry, temporal evolution, and signal-phase semantics. Howev…

cs.CV2026

Self-Evolving Spatial Reasoning in Vision Language Models via Geometric Logic Consistency

Junming Liu, Yuqi Li, Yifei Sun +4

Vision-Language Models (VLMs) have made striking progress, yet their spatial reasoning remains fragile: models that answer an original input correctly can still fail under paired t…

cs.CV2026

MedProbeBench: Systematic Benchmarking at Deep Evidence Integration for Expert-level Medical Guideline

Jiyao Liu, Jianghan Shen, Sida Song +19

Recent advances in deep research systems enable large language models to retrieve, synthesize, and reason over large-scale external knowledge. In medicine, developing clinical guid…

cs.CV2026

ReBrain: Brain MRI Reconstruction from Sparse CT Slice via Retrieval-Augmented Diffusion

Junming Liu, Yifei Sun, Weihua Cheng +4

Magnetic Resonance Imaging (MRI) plays a crucial role in brain disease diagnosis, but it is not always feasible for certain patients due to physical or clinical constraints. Recent…

cs.CV2025

Aligning Vision to Language: Annotation-Free Multimodal Knowledge Graph Construction for Enhanced LLMs Reasoning

Junming Liu, Siyuan Meng, Yanting Gao +7

Multimodal reasoning in Large Language Models (LLMs) struggles with incomplete knowledge and hallucination artifacts, challenges that textual Knowledge Graphs (KGs) only partially…