Improve model card: add metadata and links

README.md

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 license: apache-2.0
+pipeline_tag: image-text-to-text
+library_name: transformers
 ---
-# CoVT Checkpoint (Depth Aligned)
 
-## Model Description
-This CoVT checkpoint is aligned with **4 Depth tokens**.  
+# Chain-of-Visual-Thought: Teaching VLMs to See and Think Better with Continuous Visual Tokens
+
+This repository hosts a CoVT checkpoint, as presented in the paper [Chain-of-Visual-Thought: Teaching VLMs to See and Think Better with Continuous Visual Tokens](https://huggingface.co/papers/2511.19418).
+
+**Project Page**: https://wakalsprojectpage.github.io/comt-website
+**Code**: https://github.com/Wakals/CoMT
+
+## Overview of CoVT
+
+Rather than restricting VLM reasoning to a discrete language space with limited representational capacity, **CoVT** forms a visual thought chain that enables VLMs to reason in continuous visual space. By introducing *continuous visual tokens* that encode perceptual cues (e.g., segmentation, depth, instance, and edge structure), CoVT composes *chains of textual and visual thoughts* that link semantic reasoning with perceptual grounding. These visual “thought chains” bridge language and vision, enabling fine-grained understanding, spatial precision, and geometric awareness beyond the reach of text-based reasoning.
+
+## CoVT Checkpoint (Depth Aligned)
+
+This CoVT checkpoint is aligned with **4 Depth tokens**.
 These task-specific tokens are integrated into the model’s embedding space to enhance depth-awareness.