Update README.md

README.md

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 This repository contains the **MEDEA**, as described in:
 
-> **Community-Aware Assessment of Social Textual Engagement and Resonance: A Human-Centric Perspective on User-Generated Content Evaluation**
->
-> Tianjiao Li, Kai Zhao, Xiang Li, Yang Liu, Huyang Sun
->
-> ACL 2026
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+**Community-Aware Assessment of Social Textual Engagement and Resonance: A Human-Centric Perspective on User-Generated Content Evaluation**                                                                         
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+Tianjiao Li\*, Kai Zhao\*, Xiang Li, Yang Liu, Huyang Sun
+
+ACL 2026
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+</div>
 
 MEDEA is a multimodal large language model trained to assess whether User-Generated Content (UGC) achieves positive community resonance. Unlike traditional video quality assessment methods that focus on aesthetic fidelity, MEDEA evaluates content quality through **social-cognitive reasoning** — simulating diverse viewer personas and their empathetic reactions before making a quality judgment.