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<!DOCTYPE html> <html lang="en"> <head> <meta http-equiv="Content-Type" content="text/html; charset=UTF-8"> <meta charset="utf-8"> <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"> <meta http-equiv="X-UA-Compatible" content="IE=edge"> <title> Hadi Babalou </title> <meta name="author" content="Hadi Babalou"> <meta name="description" content="Hadi Babalou's personal website :) "> <meta name="keywords" content="hadi-babalou, machine-learning, academic-website, artificial-intelligence, deep-learning, trustworthy-ai"> <link rel="stylesheet" href="/assets/css/bootstrap.min.css?a4b3f509e79c54a512b890d73235ef04"> <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/css/mdb.min.css" integrity="sha256-jpjYvU3G3N6nrrBwXJoVEYI/0zw8htfFnhT9ljN3JJw=" crossorigin="anonymous"> <link defer rel="stylesheet" href="/assets/css/academicons.min.css?f0b7046b84e425c55f3463ac249818f5"> <link defer rel="stylesheet" type="text/css" href="https://fonts.googleapis.com/css?family=Roboto:300,400,500,700|Roboto+Slab:100,300,400,500,700|Material+Icons&amp;display=swap"> <link defer rel="stylesheet" href="/assets/css/jekyll-pygments-themes-github.css?591dab5a4e56573bf4ef7fd332894c99" media="" id="highlight_theme_light"> <link rel="shortcut icon" href="data:image/svg+xml,&lt;svg%20xmlns=%22http://www.w3.org/2000/svg%22%20viewBox=%220%200%20100%20100%22&gt;&lt;text%20y=%22.9em%22%20font-size=%2290%22&gt;%F0%9F%AA%90&lt;/text&gt;&lt;/svg&gt;"> <link rel="stylesheet" href="/assets/css/main.css?d41d8cd98f00b204e9800998ecf8427e"> <link rel="canonical" href="https://hadi-loo.github.io/"> <script src="/assets/js/theme.js?9a0c749ec5240d9cda97bc72359a72c0"></script> <link defer rel="stylesheet" href="/assets/css/jekyll-pygments-themes-native.css?5847e5ed4a4568527aa6cfab446049ca" media="none" id="highlight_theme_dark"> <script>initTheme();</script> </head> <body class="fixed-top-nav "> <header> <nav id="navbar" class="navbar navbar-light navbar-expand-sm fixed-top" role="navigation"> <div class="container"> <button class="navbar-toggler collapsed ml-auto" type="button" data-toggle="collapse" data-target="#navbarNav" aria-controls="navbarNav" aria-expanded="false" aria-label="Toggle navigation"> <span class="sr-only">Toggle navigation</span> <span class="icon-bar top-bar"></span> <span class="icon-bar middle-bar"></span> <span class="icon-bar bottom-bar"></span> </button> <div class="collapse navbar-collapse text-right" id="navbarNav"> <ul class="navbar-nav ml-auto flex-nowrap"> <li class="nav-item active"> <a class="nav-link" href="/">About <span class="sr-only">(current)</span> </a> </li> <li class="nav-item "> <a class="nav-link" href="/publications/">Publications </a> </li> <li class="nav-item "> <a class="nav-link" href="/projects/">Projects </a> </li> <li class="nav-item "> <a class="nav-link" href="/repositories/">Repositories </a> </li> <li class="nav-item "> <a class="nav-link" href="/cv/">CV </a> </li> <li class="nav-item "> <a class="nav-link" href="/teaching/">Teaching </a> </li> <li class="nav-item"> <button id="search-toggle" title="Search" onclick="openSearchModal()"> <span class="nav-link">ctrl k <i class="ti ti-search"></i></span> </button> </li> <li class="toggle-container"> <button id="light-toggle" title="Change theme"> <i class="ti ti-sun-moon" id="light-toggle-system"></i> <i class="ti ti-moon-filled" id="light-toggle-dark"></i> <i class="ti ti-sun-filled" id="light-toggle-light"></i> </button> </li> </ul> </div> </div> </nav> <progress id="progress" value="0"> <div class="progress-container"> <span class="progress-bar"></span> </div> </progress> </header> <div class="container mt-5" role="main"> <div class="post"> <header class="post-header"> <h1 class="post-title"> <span class="font-weight-bold">Hadi</span> Babalou </h1> <p class="desc">Computer Engineering B.Sc. at the University of Tehran</p> </header> <article> <div class="profile float-right"> <figure> <picture> <source class="responsive-img-srcset" srcset="/assets/img/prof_pic.jpg" sizes="(min-width: 930px) 270.0px, (min-width: 576px) 30vw, 95vw"> <img src="/assets/img/prof_pic.jpg?08e53572dcccc15629ab593cc6f375ee" class="img-fluid z-depth-1 rounded-circle" width="100%" height="auto" alt="prof_pic.jpg" loading="eager" onerror="this.onerror=null; $('.responsive-img-srcset').remove();"> </source></picture> </figure> <div class="more-info"> <p></p> </div> </div> <div class="clearfix"> <p>Hi! I am Hadi Babalou, a senior bachelor student in Computer Engineering at the <a href="https://ut.ac.ir/en" rel="external nofollow noopener" target="_blank">University of Tehran</a>. Through my coursework, research experiences, and personal projects, I have developed a strong interest in the fields of Artificial Intelligence and Machine Learning. Recently, my curiosity has deepened in the area of Trustworthy AI, particularly in topics such as robustness, interpretability, and fairness of machine learning models, with a specific focus on large language models, medical applications, and astrophysical applications. My goal is to expand my knowledge in these areas and contribute to advancing the field, working under the guidance of leading experts in the community.</p> </div> <h2> <a href="/publications/" style="color: inherit">selected publications</a> </h2> <div class="publications"> <ol class="bibliography"><li> <div class="row"> <div class="col col-sm-2 abbr"> <figure> <picture> <source class="responsive-img-srcset" srcset="/assets/img/publication_preview/GPTbenchmark.png" sizes="200px"> <img src="/assets/img/publication_preview/GPTbenchmark.png" class="preview z-depth-1 rounded" width="100%" height="auto" alt="GPTbenchmark.png" data-zoomable loading="eager" onerror="this.onerror=null; $('.responsive-img-srcset').remove();"> </source></picture> </figure> </div> <div id="abaskohi2024benchmarkinglargelanguagemodels" class="col-sm-8"> <div class="title">Benchmarking Large Language Models for Persian: A Preliminary Study Focusing on ChatGPT</div> <div class="author"> Amirhossein Abaskohi, Sara Baruni, Mostafa Masoudi, and <span class="more-authors" title="click to view 9 more authors" onclick=" var element=$(this); element.attr('title', ''); var more_authors_text=element.text() == '9 more authors' ? 'Mohammad Hadi Babalou, Nesa Abbasi, Ali Edalat, Sepehr Kamahi, Samin Mahdizadeh Sani, Nikoo Naghavian, Danial Namazifard, Pouya Sadeghi, Yadollah Yaghoobzadeh' : '9 more authors'; var cursorPosition=0; var textAdder=setInterval(function(){ element.html(more_authors_text.substring(0, cursorPosition + 1)); if (++cursorPosition == more_authors_text.length){ clearInterval(textAdder); } }, '10'); ">9 more authors</span> </div> <div class="periodical"> <em>Submitted to LREC-COLING 2024</em>, Apr 2024 </div> <div class="periodical"> </div> <div class="links"> <a class="abstract btn btn-sm z-depth-0" role="button">Abs</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> <a href="https://arxiv.org/pdf/2404.02403" class="btn btn-sm z-depth-0" role="button" rel="external nofollow noopener" target="_blank">PDF</a> <a href="https://github.com/Hadi-loo/Benchmarking_ChatGPT_for_Persian" class="btn btn-sm z-depth-0" role="button" rel="external nofollow noopener" target="_blank">Code</a> </div> <div class="abstract hidden"> <p>This paper explores the efficacy of large language models (LLMs) for Persian. While ChatGPT and consequent LLMs have shown remarkable performance in English, their efficiency for more low-resource languages remains an open question. We present the first comprehensive benchmarking study of LLMs across diverse Persian language tasks. Our primary focus is on GPT-3.5-turbo, but we also include GPT-4 and OpenChat-3.5 to provide a more holistic evaluation. Our assessment encompasses a diverse set of tasks categorized into classic, reasoning, and knowledge-based domains. To enable a thorough comparison, we evaluate LLMs against existing task-specific fine-tuned models. Given the limited availability of Persian datasets for reasoning tasks, we introduce two new benchmarks: one based on elementary school math questions and another derived from the entrance exams for 7th and 10th grades. Our findings reveal that while LLMs, especially GPT-4, excel in tasks requiring reasoning abilities and a broad understanding of general knowledge, they often lag behind smaller pre-trained models fine-tuned specifically for particular tasks. Additionally, we observe improved performance when test sets are translated to English before inputting them into GPT-3.5. These results highlight the significant potential for enhancing LLM performance in the Persian language. This is particularly noteworthy due to the unique attributes of Persian, including its distinct alphabet and writing styles.</p> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@article</span><span class="p">{</span><span class="nl">abaskohi2024benchmarkinglargelanguagemodels</span><span class="p">,</span>
<!DOCTYPE html> <html lang="en"> <head> <meta http-equiv="Content-Type" content="text/html; charset=UTF-8"> <meta charset="utf-8"> <meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no"> <meta http-equiv="X-UA-Compatible" content="IE=edge"> <title> Hadi Babalou </title> <meta name="author" content="Hadi Babalou"> <meta name="description" content="Hadi Babalou's personal website :) "> <meta name="keywords" content="hadi-babalou, machine-learning, academic-website, artificial-intelligence, deep-learning, trustworthy-ai"> <link rel="stylesheet" href="/assets/css/bootstrap.min.css?a4b3f509e79c54a512b890d73235ef04"> <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/css/mdb.min.css" integrity="sha256-jpjYvU3G3N6nrrBwXJoVEYI/0zw8htfFnhT9ljN3JJw=" crossorigin="anonymous"> <link defer rel="stylesheet" href="/assets/css/academicons.min.css?f0b7046b84e425c55f3463ac249818f5"> <link defer rel="stylesheet" type="text/css" href="https://fonts.googleapis.com/css?family=Roboto:300,400,500,700|Roboto+Slab:100,300,400,500,700|Material+Icons&amp;display=swap"> <link defer rel="stylesheet" href="/assets/css/jekyll-pygments-themes-github.css?591dab5a4e56573bf4ef7fd332894c99" media="" id="highlight_theme_light"> <link rel="shortcut icon" href="data:image/svg+xml,&lt;svg%20xmlns=%22http://www.w3.org/2000/svg%22%20viewBox=%220%200%20100%20100%22&gt;&lt;text%20y=%22.9em%22%20font-size=%2290%22&gt;%F0%9F%AA%90&lt;/text&gt;&lt;/svg&gt;"> <link rel="stylesheet" href="/assets/css/main.css?d41d8cd98f00b204e9800998ecf8427e"> <link rel="canonical" href="https://hadi-loo.github.io/"> <script src="/assets/js/theme.js?9a0c749ec5240d9cda97bc72359a72c0"></script> <link defer rel="stylesheet" href="/assets/css/jekyll-pygments-themes-native.css?5847e5ed4a4568527aa6cfab446049ca" media="none" id="highlight_theme_dark"> <script>initTheme();</script> </head> <body class="fixed-top-nav "> <header> <nav id="navbar" class="navbar navbar-light navbar-expand-sm fixed-top" role="navigation"> <div class="container"> <button class="navbar-toggler collapsed ml-auto" type="button" data-toggle="collapse" data-target="#navbarNav" aria-controls="navbarNav" aria-expanded="false" aria-label="Toggle navigation"> <span class="sr-only">Toggle navigation</span> <span class="icon-bar top-bar"></span> <span class="icon-bar middle-bar"></span> <span class="icon-bar bottom-bar"></span> </button> <div class="collapse navbar-collapse text-right" id="navbarNav"> <ul class="navbar-nav ml-auto flex-nowrap"> <li class="nav-item active"> <a class="nav-link" href="/">About <span class="sr-only">(current)</span> </a> </li> <li class="nav-item "> <a class="nav-link" href="/publications/">Publications </a> </li> <li class="nav-item "> <a class="nav-link" href="/projects/">Projects </a> </li> <li class="nav-item "> <a class="nav-link" href="/repositories/">Repositories </a> </li> <li class="nav-item "> <a class="nav-link" href="/cv/">CV </a> </li> <li class="nav-item "> <a class="nav-link" href="/teaching/">Teaching </a> </li> <li class="nav-item"> <button id="search-toggle" title="Search" onclick="openSearchModal()"> <span class="nav-link">ctrl k <i class="ti ti-search"></i></span> </button> </li> <li class="toggle-container"> <button id="light-toggle" title="Change theme"> <i class="ti ti-sun-moon" id="light-toggle-system"></i> <i class="ti ti-moon-filled" id="light-toggle-dark"></i> <i class="ti ti-sun-filled" id="light-toggle-light"></i> </button> </li> </ul> </div> </div> </nav> <progress id="progress" value="0"> <div class="progress-container"> <span class="progress-bar"></span> </div> </progress> </header> <div class="container mt-5" role="main"> <div class="post"> <header class="post-header"> <h1 class="post-title"> <span class="font-weight-bold">Hadi</span> Babalou </h1> <p class="desc">Computer Engineering B.Sc. at the University of Tehran</p> </header> <article> <div class="profile float-right"> <figure> <picture> <source class="responsive-img-srcset" srcset="/assets/img/prof_pic.jpg" sizes="(min-width: 930px) 270.0px, (min-width: 576px) 30vw, 95vw"> <img src="/assets/img/prof_pic.jpg?08e53572dcccc15629ab593cc6f375ee" class="img-fluid z-depth-1 rounded-circle" width="100%" height="auto" alt="prof_pic.jpg" loading="eager" onerror="this.onerror=null; $('.responsive-img-srcset').remove();"> </source></picture> </figure> <div class="more-info"> <p></p> </div> </div> <div class="clearfix"> <p>Hi! I am Hadi Babalou, a senior bachelor student in Computer Engineering at the <a href="https://ut.ac.ir/en" rel="external nofollow noopener" target="_blank">University of Tehran</a>. Through my coursework, research experiences, and personal projects, I have developed a strong interest in the fields of Artificial Intelligence and Machine Learning.</p> <p>Recently, my curiosity has deepened in the area of Trustworthy AI, particularly in topics such as robustness, interpretability, and fairness of machine learning models, with a specific focus on large language models, medical applications, and astrophysical applications. My goal is to expand my knowledge in these areas and contribute to advancing the field, working under the guidance of leading experts in the community.</p> </div> <h2> <a href="/publications/" style="color: inherit">selected publications</a> </h2> <div class="publications"> <ol class="bibliography"><li> <div class="row"> <div class="col col-sm-2 abbr"> <figure> <picture> <source class="responsive-img-srcset" srcset="/assets/img/publication_preview/GPTbenchmark.png" sizes="200px"> <img src="/assets/img/publication_preview/GPTbenchmark.png" class="preview z-depth-1 rounded" width="100%" height="auto" alt="GPTbenchmark.png" data-zoomable loading="eager" onerror="this.onerror=null; $('.responsive-img-srcset').remove();"> </source></picture> </figure> </div> <div id="abaskohi2024benchmarkinglargelanguagemodels" class="col-sm-8"> <div class="title">Benchmarking Large Language Models for Persian: A Preliminary Study Focusing on ChatGPT</div> <div class="author"> Amirhossein Abaskohi, Sara Baruni, Mostafa Masoudi, and <span class="more-authors" title="click to view 9 more authors" onclick=" var element=$(this); element.attr('title', ''); var more_authors_text=element.text() == '9 more authors' ? 'Mohammad Hadi Babalou, Nesa Abbasi, Ali Edalat, Sepehr Kamahi, Samin Mahdizadeh Sani, Nikoo Naghavian, Danial Namazifard, Pouya Sadeghi, Yadollah Yaghoobzadeh' : '9 more authors'; var cursorPosition=0; var textAdder=setInterval(function(){ element.html(more_authors_text.substring(0, cursorPosition + 1)); if (++cursorPosition == more_authors_text.length){ clearInterval(textAdder); } }, '10'); ">9 more authors</span> </div> <div class="periodical"> <em>Submitted to LREC-COLING 2024</em>, Apr 2024 </div> <div class="periodical"> </div> <div class="links"> <a class="abstract btn btn-sm z-depth-0" role="button">Abs</a> <a class="bibtex btn btn-sm z-depth-0" role="button">Bib</a> <a href="https://arxiv.org/pdf/2404.02403" class="btn btn-sm z-depth-0" role="button" rel="external nofollow noopener" target="_blank">PDF</a> <a href="https://github.com/Hadi-loo/Benchmarking_ChatGPT_for_Persian" class="btn btn-sm z-depth-0" role="button" rel="external nofollow noopener" target="_blank">Code</a> </div> <div class="abstract hidden"> <p>This paper explores the efficacy of large language models (LLMs) for Persian. While ChatGPT and consequent LLMs have shown remarkable performance in English, their efficiency for more low-resource languages remains an open question. We present the first comprehensive benchmarking study of LLMs across diverse Persian language tasks. Our primary focus is on GPT-3.5-turbo, but we also include GPT-4 and OpenChat-3.5 to provide a more holistic evaluation. Our assessment encompasses a diverse set of tasks categorized into classic, reasoning, and knowledge-based domains. To enable a thorough comparison, we evaluate LLMs against existing task-specific fine-tuned models. Given the limited availability of Persian datasets for reasoning tasks, we introduce two new benchmarks: one based on elementary school math questions and another derived from the entrance exams for 7th and 10th grades. Our findings reveal that while LLMs, especially GPT-4, excel in tasks requiring reasoning abilities and a broad understanding of general knowledge, they often lag behind smaller pre-trained models fine-tuned specifically for particular tasks. Additionally, we observe improved performance when test sets are translated to English before inputting them into GPT-3.5. These results highlight the significant potential for enhancing LLM performance in the Persian language. This is particularly noteworthy due to the unique attributes of Persian, including its distinct alphabet and writing styles.</p> </div> <div class="bibtex hidden"> <figure class="highlight"><pre><code class="language-bibtex" data-lang="bibtex"><span class="nc">@article</span><span class="p">{</span><span class="nl">abaskohi2024benchmarkinglargelanguagemodels</span><span class="p">,</span>
<span class="na">title</span> <span class="p">=</span> <span class="s">{Benchmarking Large Language Models for Persian: A Preliminary Study Focusing on ChatGPT}</span><span class="p">,</span>
<span class="na">author</span> <span class="p">=</span> <span class="s">{Abaskohi, Amirhossein and Baruni, Sara and Masoudi, Mostafa and Babalou, Mohammad Hadi and Abbasi, Nesa and Edalat, Ali and Kamahi, Sepehr and Sani, Samin Mahdizadeh and Naghavian, Nikoo and Namazifard, Danial and Sadeghi, Pouya and Yaghoobzadeh, Yadollah}</span><span class="p">,</span>
<span class="na">year</span> <span class="p">=</span> <span class="s">{2024}</span><span class="p">,</span>
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