Update README.md

README.md

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 [![Evaluation Toolkit](https://img.shields.io/badge/⚙️-Evaluation_Toolkit-6366f1.svg)](#-epic-bench-evaluation-toolkit)
 [![License](https://img.shields.io/badge/License-TBD-lightgrey.svg)](#-license)
 
-[**Homepage**](https://epic-bench.github.io/EPIC-Bench/) | [**Paper**](https://epic-bench.github.io/EPIC-Bench/) | [**Dataset**](https://huggingface.co/datasets/rxc205/EPIC-Bench) | [**Leaderboard**](https://epic-bench.github.io/EPIC-Bench/#leaderboard-section)
-
 </div>
 
 ## 📃 Overview
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 **EPIC-Bench** is a **Mask-Grounding-based** benchmark designed to evaluate a VLM’s **Visual Perception** capability in **Embodied Scenarios**.
 
 <p align="center">
-  <img src="https://raw.githubusercontent.com/rxc205/EPIC-Bench-Eval/refs/heads/main/images/teaser.png" alt="EPIC-Bench teaser" width="100%"/>
+  <img src="https://epic-bench.github.io/EPIC-Bench/img/20260302-192636.png" alt="EPIC-Bench teaser" width="100%"/>
 </p>
 
 📚 EPIC-Bench covers **3 High-Level Categories** and **23 Task Types**, following the realistic **Embodied Workflow**:
@@ -65,13 +63,12 @@ The goal is to measure whether models can reliably perceive the critical **Visua
 
 ## 📰 News
 
-- ~~[2026.5.10] 🚀 Huggingface Dataset and evaluation code are available!~~
-- [2026.5.10] 🚀 We released the ArXiv paper.
+- [2026.5.15] 🚀 Huggingface Dataset and evaluation code are available!
+- [2026.5.15] 🚀 We released the ArXiv paper.
 
 ## 📋 Todo
 
 - [x] Evaluation code for EPIC-Bench
-- [ ] Support an online leaderboard
 - [ ] Make the evaluation pipeline compatible with mask outputs