Update README.md

README.md

@@ -145,16 +145,12 @@ configs:
     path: Fashion Design/dev.csv
 ---
 
-<p align="left"> <img src="https://raw.githubusercontent.com/fajri91/eval_picts/refs/heads/master/indocareer.png" style="width: 75%;" id="title-icon">  </p>
-<p align="left"> <i>Fajri Koto</i></p>
-
-<h4 align="left">
-    Department of Natural Language Processing, MBZUAI
-</h4>
-
+<p align="left"> <img src="https://raw.githubusercontent.com/fajri91/eval_picts/refs/heads/master/indocareer.png" style="width: 60%;" id="title-icon">  </p>
 
 ---
 
+## NAACL 2025 (Industry Track), By: Fajri Koto, MBZUAI
+
 ## Introduction
 
 a dataset comprising 8,834 multiple-choice questions designed to evaluate performance in vocational and professional certification exams across various fields. With a focus on Indonesia, IndoCareer provides rich local contexts, spanning six key sectors: (1) healthcare, (2) insurance and finance, (3) creative and design, (4) tourism and hospitality, (5) education and training, and (6) law.
@@ -181,7 +177,7 @@ These questions are written in Indonesian.
 
 We evaluated one closed-source model (GPT-4o) and 26 open-weight LLMs:
 
-<p align="left"> <img src="https://raw.githubusercontent.com/fajri91/eval_picts/refs/heads/master/indocareer_result.png" style="width: 35%;" id="title-icon">       </p>
+<p align="left"> <img src="https://raw.githubusercontent.com/fajri91/eval_picts/refs/heads/master/indocareer_result.png" style="width: 70%;" id="title-icon">       </p>
 
 
 ## Citation