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    <title>IISR Lab - Richard Tzong-Han Tsai</title>
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<a href="opportunities.html">Opportunities</a>
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<h1 style="margin-bottom:15px; font-size:2.5em; color:#2c3e50;">Join & Collaborate with IISR</h1>
<p style="font-size:1.1em; color:#666; line-height:1.8; max-width:800px; margin:0 auto;">
IISR welcomes motivated students and collaborators to build <b>practical, trustworthy AI systems</b>. Whether you are a prospective student or an industry partner, we invite you to join us in advancing Localized LLMs, BioNLP, and Digital Humanities.
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<h2 class="section-title" style="margin-top:0;">What You Can Work On</h2>

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<h3 style="margin-top:0; color:#0366d6;">🇹🇼 Taiwan-Localized LLMs & Low-Resource Languages</h3>
<ul>
<li>Efficient alignment and instruction-following for new languages (e.g., Chat Vector-style transfer).</li>
<li>Trustworthy evaluation using culturally grounded benchmarks (e.g., TWBias).</li>
<li>Hokkien translation / generation and multimodal learning applications (e.g., ATAIGI).</li>
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<h3 style="margin-top:0; color:#27ae60;">🧬 Biomedical NLP (BioNLP)</h3>
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<li>Data-centric learning for noisy biomedical datasets (e.g., relation extraction).</li>
<li>Privacy-preserving clinical NLP (de-identification, temporal normalization).</li>
<li>Evidence-grounded biomedical QA (retrieval + generation).</li>
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<h3 style="margin-top:0; color:#c0392b;">🗺️ Digital Humanities & Historical GIS</h3>
<ul>
<li>Context-aware representations for historical entities and trajectories (e.g., MingOfficial).</li>
<li>Domain adaptation for unlabeled historical maps.</li>
<li>Long-document RAG with traceability and human-in-the-loop evaluation.</li>
</ul>
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<h3 style="margin-top:0; color:#2c3e50;">🌟 What We Value</h3>
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<li><b>Curiosity</b> and strong ownership.</li>
<li><b>Reproducibility mindset</b> (clean experiments, careful evaluation, readable code).</li>
<li><b>Collaboration</b> and the ability to iterate with real stakeholders.</li>
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<h3 style="margin-top:0; color:#2c3e50;">🛠️ Recommended Skills</h3>
<ul>
<li><b>Python</b> (required), <b>PyTorch</b> (preferred).</li>
<li>IR/NLP/ML fundamentals; comfort reading papers.</li>
<li><b>Bonus:</b> Information retrieval, LLM evaluation, data engineering, or GIS.</li>
</ul>
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<h2 class="section-title">How to Apply (Students/RAs)</h2>
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<p style="margin-top:0;">Please email the following materials to Prof. Richard Tzong-Han Tsai:</p>
<ul style="margin-bottom:20px;">
<li><b>CV / Resume</b></li>
<li><b>Short Statement</b> (≤ 1 page): Research interests, skills, and available time.</li>
<li><b>(Optional)</b> Transcript, publications, or portfolio (GitHub, demos).</li>
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<b>📧 Email:</b> <a href="mailto:thtsai@g.ncu.edu.tw" style="color:#0366d6;">thtsai@g.ncu.edu.tw</a><br>
<b>📝 Subject:</b> [IISR] Application – Your Name – PhD/MS/RA/Intern
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<h2 class="section-title">Collaboration & Contact</h2>
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We actively collaborate with academia, hospitals, national institutions, and industry partners (e.g., semiconductor, public sector, education).
</p>

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<h3 style="margin-top:0; color:#2c3e50;">📍 Lab Location</h3>
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<b>National Central University</b><br>
Engineering Building 5, Room A305 (工程五館 A305室)<br>
No. 300, Zhongda Rd., Zhongli District,<br>
Taoyuan City 32001, Taiwan
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