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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Weerayut Buaphet - Resume</title>
<style>
body {
font-family: Arial, sans-serif;
margin: 0;
padding: 20px;
background-color: #f4f4f4;
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.container {
max-width: 800px;
margin: auto;
background: #fff;
padding: 20px;
box-shadow: 0 0 10px rgba(0, 0, 0, 0.1);
}
h1 {
text-align: center;
text-transform: uppercase;
font-size: 24px;
}
.contact-info {
text-align: center;
margin-bottom: 20px;
}
.section {
margin-bottom: 20px;
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.section-title {
font-size: 18px;
font-weight: bold;
text-transform: uppercase;
border-bottom: 2px solid #000;
padding-bottom: 5px;
margin-bottom: 10px;
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.subsection-title {
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font-weight: bold;
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ul li {
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</head>
<body>
<div class="container">
<h1>Weerayut Buaphet (วีรยุทธ บัวเพชร)</h1>
<div class="contact-info"><p>(+66) 80 6789 276 • [email protected] • weerayutbu.github.io</p></div>
<div class="section">
<div class="section-title">Summary</div>
<p>I am a fifth-year Ph.D. student at the Natural Language Processing and Representation Learning (NRL) Lab at VISTEC, Thailand, under the supervision of Assoc. Prof. Dr. Sarana Nutanong and co-supervision of Assoc. Prof. Dr. Attapol Rutherford.</p>
<p>My research focuses on information extraction tasks, Named Entity Recognition (NER), and Representation Learning. My work aims to address the challenges in NER, including limited resources for Thai NER, issues related to open class problems with unseen and long-tail entities, and multilingual and domain-specific. My co-authors and I have previously worked on developing a Thai Fine-grained Nested NER dataset to bridge the gap between low-resource and high-resource languages. Additionally, we have explored few-shot learning techniques, leveraging large language models to generate relevant examples and enhance the effectiveness of few-shot NER.</p>
<p>Currently, I am focusing on creating a bilingual finance-NER dataset in Thai and English to study knowledge transfer from high-resource to low-resource languages.</p>
</div>
<div class="section">
<div class="section-title">Education</div>
<div>
<p><strong>Ph.D. in Information Science and Technology</strong></p>
<p>Vidyasirimedhi Institute of Science and Technology (VISTEC), Aug 2020 - Present</p>
<p>GPA: 4.00/4.00</p>
<p>Relevant coursework: Natural Language Processing, Computational Machine Intelligence and Applications</p>
</div>
<div>
<p><strong>B.Eng. in Computer Engineering</strong></p>
<p>Rajamangala University of Technology Lanna (RMUTL-CM), Mar 2016 - Mar 2020</p>
<p>GPA: 3.62/4.00 (Top 1)</p>
<p>Relevant coursework: Data Structures and Algorithms, Operating Systems, Software Engineering</p>
</div>
</div>
<!-- <div class="section">
<div class="section-title">Technical Skills</div>
<div class="subsection-title">Languages</div>
<ul>
<li>Thai (Native), English (TOEFL-ITP 550)</li>
</ul>
<div class="subsection-title">Tools and Frameworks</div>
<ul>
<li>Python, PyTorch, Docker, SQL, C, C++, Java, HTML, PHP, JavaScript</li>
</ul>
</div> -->
<div class="section">
<div class="section-title">Internship</div>
<div>
<p><strong>VISTEC, Rayong, Thailand: Researcher Assistant</strong></p>
<p>Nov 2019 – Aug 2020</p>
<ul>
<li>Conducted literature review and implemented a baseline Thai Nested Named Entity Recognition model using Python and Torch. Performed quality control and error analysis to ensure the accuracy and reliability of the Thai N-NER model.</li>
</ul>
</div>
</div>
<div class="section">
<div class="section-title">Academic Projects</div>
<div>
<p><strong>Thai Nested Named Entity Recognition Corpus.</strong></p>
<p>Weerayut Buaphet, Can Udomcharoenchaikit, Peerat Limkonchotiwat, Attapol Rutherford, and Sarana Nutanong. 2022. In Findings of the Association for Computational Linguistics: ACL 2022, pages 1473–1486, Dublin, Ireland. Association for Computational Linguistics.</p>
<p>Aug 2019 – May 2022</p>
</div>
<div>
<p><strong>Mitigating Spurious Correlation in Natural Language Understanding with Counterfactual Inference.</strong></p>
<p>Can Udomcharoenchaikit, Wuttikorn Ponwitayarat, Patomporn Payoungkhamdee, Kanruethai Masuk, Weerayut Buaphet, Ekapol Chuangsuwanich, and Sarana Nutanong. 2022. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 11308–11321, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics.</p>
<p>Dec 2022</p>
</div>
<div>
<p><strong>Cross-Lingual Data Augmentation For Thai Question-Answering.</strong></p>
<p>Parinthapat Pengpun, Can Udomcharoenchaikit, Weerayut Buaphet, and Peerat Limkonchotiwat. 2023. In Proceedings of the 1st GenBench Workshop on (Benchmarking) Generalisation in NLP, pages 193–203, Singapore. Association for Computational Linguistics.</p>
<p>Dec 2023</p>
</div>
<div>
<p><strong>Few-shot Named Entity Recognition</strong></p>
<p>In this project, we focus on leveraging the capabilities of large language models to generate relevant examples, thereby enhancing the effectiveness of few-shot NER.</p>
<p>Under review</p>
</div>
<div>
<p><strong>Bi-lingual Named Entity Recognition for financing</strong></p>
<p>Creating a finance-NER dataset composed of two languages, Thai and English. This project aims to study the knowledge transfer from high-resource to low-resource languages in the financial domain.</p>
<p>Ongoing project</p>
</div>
</div>
<div class="section">
<div class="section-title">OPEN SOURCE CONTRIBUTIONS AND ACTIVITIES</div>
<div class="subsection-title">Reviewers</div>
<p>• 2024: ARR-EMNLP</p>
<div class="subsection-title">Open Source NER Models</div>
<p>Part of the development team for Thai NER datasets and models, including a nested NER model for fine-grained classification and a bilingual (TH-EN) NER model for the financial domain</p>
<ul>
<li>Developed Thai nested NER models and quality control (QC) dataset.</li>
<li>Developed bilingual NER model for the financial domain and quality control (QC) dataset.</li>
</ul>
<div class="subsection-title">Mentor AI Builders (2022)</div>
<p>This program aims to develop knowledge in Data Science and Artificial Intelligence (AI) for middle and high school students interested in practical applications. My friend and I are responsible for five students working on various projects, such as question generation, fake news detection, and creating a dataset and system to support a plant tissue laboratory.</p>
<div class="subsection-title">Internet of Things (11th 9 RMUT competition 2019) - RMUTSB</div>
<p>We got 2nd place in the RMUT group IoT competition in Thailand. We used an ESP20 to read sensor data and send it via MQTT to a Raspberry Pi server, which visualized the data on a web interface. I programmed the visualization and configured the ESP20 while my friend handled the hardware connections</p>
<div class="subsection-title">The Robotic Design Contest (RDC 2018)</div>
<p>This program selects national representatives for the International Design Contest RoBoCon (IDC RoBoCon). All teamsare required to design a robot to solve a provided problem. It promotes equality with mixed teams, equal resources, and collaboration, including training sessions at all levels. My friend and I achieved the following:</p>
<ul>
<li>2nd place in the Northern region at Chiang Mai University.</li>
<li>1st place in RDC2018 Thailand at Chulalongkorn University.</li>
<li>3rd place internationally at the Tokyo Institute of Technology.</li>
</ul>
</div>
<div class="section">
<div class="section-title">News</div>
<ul>
<li>16.09.24: Visiting Ph.D student at ITU.</li>
</ul>
</div>
</div>
</body>
</html>