Create README.md

README.md

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+---
+datasets:
+- Aria-UI/Aria-UI_Data
+base_model:
+- rhymes-ai/Aria-Base-8K
+- rhymes-ai/Aria
+---
+
+<div style="display: flex; align-items: center; gap: 20px;">
+  <img src="assets/performance_spider.pdf" alt="Performance Spider Plot" width="400">
+  <!-- Text Section -->
+  <div>
+    <h2>Key Features of Aria-UI</h2>
+    <div style="font-weight: bold;">✨ Versatile Grounding Instruction Understanding:</div>
+    <div>Aria-UI handles diverse grounding instructions, excelling in interpreting varied formats, ensuring robust adaptability across dynamic scenarios or when paired with diverse planning agents.</div>
+    <div style="font-weight: bold; margin-top: 10px;">📝 Context-aware Grounding:</div>
+    <div>Aria-UI effectively leverages historical input, whether in pure text or text-image-interleaved formats, to improve grounding accuracy.</div>
+    <div style="font-weight: bold; margin-top: 10px;">⚡ Lightweight and Fast:</div>
+    <div>Aria-UI is a mixture-of-expert model with 3.9B activated parameters per token. It efficiently encodes GUI input of variable sizes and aspect ratios, with ultra-resolution support.</div>
+    <div style="font-weight: bold; margin-top: 10px;">🎉 Superior Performances:</div>
+    <div>
+      Aria-UI sets new state-of-the-art results on offline and online agent benchmarks. 
+      <div style="margin-top: 5px;">
+        <span style="font-weight: bold;">🏆 1st place</span> on <span style="font-weight: bold;">AndroidWorld</span> with <span style="font-weight: bold;">44.8%</span> task success rate and 
+        <span style="font-weight: bold;">🥉 3rd place</span> on <span style="font-weight: bold;">OSWorld</span> with <span style="font-weight: bold;">15.2%</span> task success rate (Dec. 2024).
+      </div>
+    </div>
+  </div>
+</div>