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@@ -145,11 +145,12 @@ configs:
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  path: Fashion Design/dev.csv
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  ---
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- <p align="left"> <img src="https://raw.githubusercontent.com/fajri91/eval_picts/refs/heads/master/indocareer.png" style="width: 60%;" id="title-icon"> </p>
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  ---
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- ## NAACL 2025 (Industry Track), By: Fajri Koto, MBZUAI
 
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  ## Introduction
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@@ -177,13 +178,13 @@ These questions are written in Indonesian.
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  We evaluated one closed-source model (GPT-4o) and 26 open-weight LLMs:
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- <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>
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  ## Citation
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  Please find out paper 📄<a href="https://arxiv.org/pdf/2409.08564/" target="_blank" style="margin-right: 15px; margin-left: 10px">here.</a>
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  ```
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- @inproceedings{koto2025crack,
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  title={Cracking the Code: Multi-domain LLM Evaluation on Real-World Professional Exams in Indonesia},
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  author={"Fajri Koto"},
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  booktitle={Proceedings of the 2025 Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT 2025), Industry Track},
 
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  path: Fashion Design/dev.csv
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  ---
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+ <p align="left"> <img src="https://raw.githubusercontent.com/fajri91/eval_picts/refs/heads/master/indocareer2.png" style="width: 60%;" id="title-icon"> </p>
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  ---
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+ ## NAACL 2025 (Industry Track)
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+ ### Fajri Koto (MBZUAI)
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  ## Introduction
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  We evaluated one closed-source model (GPT-4o) and 26 open-weight LLMs:
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+ <p align="left"> <img src="https://raw.githubusercontent.com/fajri91/eval_picts/refs/heads/master/indocareer_result.png" style="width: 50%;" id="title-icon"> </p>
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  ## Citation
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  Please find out paper 📄<a href="https://arxiv.org/pdf/2409.08564/" target="_blank" style="margin-right: 15px; margin-left: 10px">here.</a>
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  ```
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+ @inproceedings{koto2025cracking,
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  title={Cracking the Code: Multi-domain LLM Evaluation on Real-World Professional Exams in Indonesia},
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  author={"Fajri Koto"},
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  booktitle={Proceedings of the 2025 Conference of the North American Chapter of the Association for Computational Linguistics – Human Language Technologies (NAACL HLT 2025), Industry Track},