ReGuLaR: Relation-Grounded Latent Reasoning for Large Vision-Language Models

arXiv:2605.30587 · cs.CV · Submitted 2026-05-28 · Read on arXiv

cs.CV

Submitted: 2026-05-28

Updated: 2026-10-27

Terminology

• Latent Reasoning — 4× in this paper · explained in 3 episodes
• Vision-language models — 2× in this paper · explained in 2 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Chain-of-Thought (CoT) — 1× in this paper · explained in 5 episodes
• Chain-of-Thought (CoT) Reasoning — 1× in this paper · explained in 5 episodes
• Latent Space — 1× in this paper · explained in 7 episodes

Related papers

• Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
• AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
• Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
• MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
• TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
• A Survey on Efficient Vision-Language-Action Models