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Update app.py
Browse files
app.py
CHANGED
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@@ -25,26 +25,26 @@ if 'show_details' not in st.session_state:
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content = {
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'ja': {
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'subtitle': 'AI Researcher & Machine Learning Engineer',
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'badges': ['🎓 博士後期課程 D1', '🤖 LLM
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'intro': """大阪公立大学の博士後期課程(D1)で<span style="color: var(--secondary); font-weight: 600;">機械工学とAI・NLP</span>を研究。<br>
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<span style="color: var(--secondary); font-weight: 600;">LLMの暗黙知、AI
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-
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'current_position': '🏢 現在の所属',
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'tech_stack': '💻 技術スタック',
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'achievements': '🏆 主な実績',
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'career': '📋 来歴',
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'publications': '📚
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'projects': '🚀
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'social_links': '🌐 SNS & Links',
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'contact': '📬 Contact',
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'contact_intro': '
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},
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'en': {
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'subtitle': 'AI Researcher & Machine Learning Engineer',
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'badges': ['🎓 PhD Student D1', '🤖 LLM
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'intro': """PhD student at <span style="color: var(--secondary); font-weight: 600;">Osaka Metropolitan University</span> researching <span style="color: var(--secondary); font-weight: 600;">
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Focusing on <span style="color: var(--secondary); font-weight: 600;">LLM implicit knowledge, AI agents, and autonomous driving</span>,<br>
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also working as
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'current_position': '🏢 Current Affiliations',
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'tech_stack': '💻 Tech Stack',
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'achievements': '🏆 Key Achievements',
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@@ -634,6 +634,11 @@ def main():
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<div class="timeline-item">
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<div class="timeline-date">2025年4月 - 現在</div>
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<strong>東京大学 松尾岩澤研究室</strong><br>
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データサイエンティスト
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</div>
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</div>
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<div class="timeline-item">
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<div class="timeline-date">Apr 2025 - Present</div>
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<strong>Osaka Metropolitan University</strong><br>
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Graduate School of Engineering, PhD Program
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</div>
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<div class="timeline-item">
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<div class="timeline-date">Apr 2025 - Present</div>
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<strong>University of Tokyo, Matsuo Lab</strong><br>
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Data Scientist
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</div>
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</div>
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@@ -674,9 +684,9 @@ def main():
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</div>
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<div>
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<strong style="color: var(--primary);">Research</strong><br>
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<span class="skill-tag"
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<span class="skill-tag">AIエージェント</span>
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<span class="skill-tag"
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</div>
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</div>
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""", unsafe_allow_html=True)
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</div>
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<div>
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<strong style="color: var(--primary);">Research</strong><br>
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<span class="skill-tag">
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<span class="skill-tag">AI Agents</span>
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<span class="skill-tag">
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</div>
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</div>
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""", unsafe_allow_html=True)
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# SNSリンク集
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st.markdown(f'<h2>{content[lang]["social_links"]}</h2>', unsafe_allow_html=True)
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# TODO: 以下のSNSリンクを自分のアカウントに変更してください
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st.markdown("""
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<div class="glow-card">
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<div class="social-links-grid">
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<a href="https://
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<i class="fab fa-twitter"></i>
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<span>Twitter</span>
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</a>
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<a href="https://github.com/
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<i class="fab fa-github"></i>
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<span>GitHub</span>
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</a>
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<i class="fab fa-linkedin"></i>
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<span>LinkedIn</span>
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</a>
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<a href="https://scholar.google.com/citations?user=
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<i class="fas fa-graduation-cap"></i>
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<span>Google Scholar</span>
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</a>
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<a href="https://
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<i class="fas fa-
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<span>
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</a>
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<a href="https://zenn.dev/
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<i class="fas fa-book"></i>
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<span>Zenn</span>
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</a>
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</div>
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<div class="timeline-item">
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<div class="timeline-date">2025年3月</div>
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<strong
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</div>
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<div class="timeline-item">
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<div class="timeline-date">2024年6月</div>
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<strong>人工知能学会 全国大会 優秀賞</strong><br>
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LLMによる前提生成ステップを用いた反論の攻撃力向上手法
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</div>
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</div>
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""", unsafe_allow_html=True)
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else:
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</div>
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<div class="timeline-item">
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<div class="timeline-date">Mar 2025</div>
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<strong>
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</div>
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<div class="timeline-item">
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<div class="timeline-date">Jun 2024</div>
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<strong>JSAI Annual Conference Excellence Award</strong><br>
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Method for Enhancing Counterargument Attack Power Using LLM-based Premise Generation
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</div>
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</div>
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""", unsafe_allow_html=True)
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<div class="glow-card">
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<div class="timeline-item">
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<div class="timeline-date">2025年4月 - 現在</div>
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<strong
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</div>
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<div class="timeline-item">
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<div class="timeline-date">2025年4月 - 現在</div>
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<strong>大阪公立大学大学院 博士後期課程</strong><br>
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工学研究科 機械系専攻
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</div>
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<div class="timeline-item">
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<div class="timeline-date">2023年4月 - 2025年3月</div>
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<strong>大阪府立大学</strong><br>
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工学域 機械系学類
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</div>
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</div>
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""", unsafe_allow_html=True)
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else:
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<div class="glow-card">
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<div class="timeline-item">
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<div class="timeline-date">Apr 2025 - Present</div>
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<strong>
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</div>
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<div class="timeline-item">
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<div class="timeline-date">Apr 2025 - Present</div>
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<strong>Osaka Metropolitan University, PhD Program</strong><br>
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Graduate School of Engineering
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</div>
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<div class="timeline-item">
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<div class="timeline-date">Apr 2023 - Mar 2025</div>
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<strong>Osaka Metropolitan University, Master Program</strong><br>
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Graduate School of Engineering
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</div>
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<div class="timeline-item">
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<div class="timeline-date">Apr 2019 - Mar 2023</div>
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<strong>Osaka Prefecture University</strong><br>
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School of Engineering
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</div>
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</div>
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""", unsafe_allow_html=True)
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# 研究発表(詳細付き)
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st.markdown(f'<h2>{content[lang]["publications"]}</h2>', unsafe_allow_html=True)
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for pub in publications:
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with st.expander(f"📄 {pub['title']}", expanded=False):
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<span class="timeline-date">{pub['date']}</span> |
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<span style="color: var(--text-secondary);">{pub['venue']}</span>
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</div>
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<p>{pub['abstract']}</p>
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""", unsafe_allow_html=True)
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st.markdown("""
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<div class="glow-card">
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<h3 style="color: var(--primary); font-size: 1.3rem;">NEDO Geniac Project</h3>
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<p>Serving as team leader in the large language model development project at University of Tokyo Matsuo
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</div>
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""", unsafe_allow_html=True)
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<a href="mailto:[email protected]">[email protected]</a>
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</div>
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<div style="margin-bottom: 1rem;">
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<strong>{"松尾研究所" if lang == 'ja' else "Matsuo
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<a href="mailto:[email protected]">[email protected]</a>
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</div>
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<div style="margin-bottom: 1rem;">
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<strong>{"個人" if lang == 'ja' else "Personal"}</strong><br>
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<a href="mailto:
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</div>
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</div>
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""", unsafe_allow_html=True)
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content = {
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'ja': {
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'subtitle': 'AI Researcher & Machine Learning Engineer',
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'badges': ['🎓 博士後期課程 D1', '🤖 LLM Researcher', '🚗 LLM Agent', '🧠 LLM`s Implicit knowledge'],
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'intro': """大阪公立大学の博士後期課程(D1)で<span style="color: var(--secondary); font-weight: 600;">機械工学とAI・NLP</span>を研究。<br>
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<span style="color: var(--secondary); font-weight: 600;">LLMの暗黙知、AIエージェント、小型ビークルの自動運転</span>に焦点を当てた研究を行い、<br>
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東京大学 松尾岩澤研究室,株式会社松尾研究所でも<span style="color: var(--secondary); font-weight: 600;">学術専門職員,データサイエンティスト</span>として活動中。""",
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'current_position': '🏢 現在の所属',
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'tech_stack': '💻 技術スタック',
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'achievements': '🏆 主な実績',
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'career': '📋 来歴',
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'publications': '📚 研究発表',
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'projects': '🚀 プロジェクト',
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'social_links': '🌐 SNS & Links',
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'contact': '📬 Contact',
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'contact_intro': 'お問い合わせはこちらから'
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},
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'en': {
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'subtitle': 'AI Researcher & Machine Learning Engineer',
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'badges': ['🎓 PhD Student D1', '🤖 LLM Researcher', '🚗 LLM Agent', '🧠 LLM`s Implicit Knowledge'],
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'intro': """PhD student (D1) at <span style="color: var(--secondary); font-weight: 600;">Osaka Metropolitan University</span> researching <span style="color: var(--secondary); font-weight: 600;">Mechanical Engineering and AI/NLP</span>.<br>
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Focusing on <span style="color: var(--secondary); font-weight: 600;">LLM implicit knowledge, AI agents, and autonomous driving for small vehicles</span>,<br>
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also working as an <span style="color: var(--secondary); font-weight: 600;">Academic Research Staff and Data Scientist</span> at the University of Tokyo Matsuo-Iwasawa Lab and Matsuo Institute.""",
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'current_position': '🏢 Current Affiliations',
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'tech_stack': '💻 Tech Stack',
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'achievements': '🏆 Key Achievements',
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<div class="timeline-item">
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<div class="timeline-date">2025年4月 - 現在</div>
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<strong>東京大学 松尾岩澤研究室</strong><br>
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学術専門職員
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</div>
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<div class="timeline-item">
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<div class="timeline-date">2025年4月 - 現在</div>
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<strong>株式会社 松尾研究所</strong><br>
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データサイエンティスト
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</div>
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</div>
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<div class="timeline-item">
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<div class="timeline-date">Apr 2025 - Present</div>
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<strong>Osaka Metropolitan University</strong><br>
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Graduate School of Engineering, Mechanical Engineering, PhD Program
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</div>
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<div class="timeline-item">
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<div class="timeline-date">Apr 2025 - Present</div>
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<strong>University of Tokyo, Matsuo-Iwasawa Lab</strong><br>
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Academic Research Staff
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</div>
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<div class="timeline-item">
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<div class="timeline-date">Apr 2025 - Present</div>
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<strong>Matsuo Institute Inc.</strong><br>
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Data Scientist
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</div>
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</div>
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</div>
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<div>
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<strong style="color: var(--primary);">Research</strong><br>
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<span class="skill-tag">LLM開発</span>
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<span class="skill-tag">AIエージェント</span>
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<span class="skill-tag">機械工学</span>
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</div>
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</div>
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""", unsafe_allow_html=True)
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</div>
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<div>
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<strong style="color: var(--primary);">Research</strong><br>
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<span class="skill-tag">LLM Development</span>
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<span class="skill-tag">AI Agents</span>
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<span class="skill-tag">Mechanical Engineering</span>
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</div>
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</div>
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""", unsafe_allow_html=True)
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# SNSリンク集
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st.markdown(f'<h2>{content[lang]["social_links"]}</h2>', unsafe_allow_html=True)
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st.markdown("""
|
| 721 |
<div class="glow-card">
|
| 722 |
<div class="social-links-grid">
|
| 723 |
+
<a href="https://x.com/Symonds_DeL" target="_blank" class="social-link-item">
|
| 724 |
<i class="fab fa-twitter"></i>
|
| 725 |
+
<span>Twitter・X</span>
|
| 726 |
</a>
|
| 727 |
+
<a href="https://github.com/DeL-TaiseiOzaki" target="_blank" class="social-link-item">
|
| 728 |
<i class="fab fa-github"></i>
|
| 729 |
<span>GitHub</span>
|
| 730 |
</a>
|
|
|
|
| 732 |
<i class="fab fa-linkedin"></i>
|
| 733 |
<span>LinkedIn</span>
|
| 734 |
</a>
|
| 735 |
+
<a href="https://scholar.google.com/citations?user=IrxaduIAAAAJ&hl=ja" target="_blank" class="social-link-item">
|
| 736 |
<i class="fas fa-graduation-cap"></i>
|
| 737 |
<span>Google Scholar</span>
|
| 738 |
</a>
|
| 739 |
+
<a href="https://huggingface.co/DeL-TaiseiOzaki" target="_blank" class="social-link-item">
|
| 740 |
+
<i class="fas fa-huggingface"></i>
|
| 741 |
+
<span>Huggingface</span>
|
| 742 |
</a>
|
| 743 |
+
<a href="https://zenn.dev/delzaky" target="_blank" class="social-link-item">
|
| 744 |
<i class="fas fa-book"></i>
|
| 745 |
<span>Zenn</span>
|
| 746 |
</a>
|
|
|
|
| 762 |
</div>
|
| 763 |
<div class="timeline-item">
|
| 764 |
<div class="timeline-date">2025年3月</div>
|
| 765 |
+
<strong>大阪公立大学大学院 工学研究科 学生顕彰</strong><br>
|
| 766 |
+
学術研究で優れた成果を挙げた学生に贈られる賞
|
| 767 |
</div>
|
| 768 |
<div class="timeline-item">
|
| 769 |
<div class="timeline-date">2024年6月</div>
|
| 770 |
<strong>人工知能学会 全国大会 優秀賞</strong><br>
|
| 771 |
LLMによる前提生成ステップを用いた反論の攻撃力向上手法
|
| 772 |
</div>
|
| 773 |
+
<div class="timeline-item">
|
| 774 |
+
<div class="timeline-date">2023年6月</div>
|
| 775 |
+
<strong>人工知能学会 全国大会 優秀賞</strong><br>
|
| 776 |
+
大規模言語モデルによる高品質反論文の自動生成
|
| 777 |
+
</div>
|
| 778 |
</div>
|
| 779 |
""", unsafe_allow_html=True)
|
| 780 |
else:
|
|
|
|
| 787 |
</div>
|
| 788 |
<div class="timeline-item">
|
| 789 |
<div class="timeline-date">Mar 2025</div>
|
| 790 |
+
<strong>Graduate School Student Recognition Award</strong><br>
|
| 791 |
+
Graduate School of Engineering, Osaka Metropolitan University
|
| 792 |
</div>
|
| 793 |
<div class="timeline-item">
|
| 794 |
<div class="timeline-date">Jun 2024</div>
|
| 795 |
<strong>JSAI Annual Conference Excellence Award</strong><br>
|
| 796 |
Method for Enhancing Counterargument Attack Power Using LLM-based Premise Generation
|
| 797 |
</div>
|
| 798 |
+
<div class="timeline-item">
|
| 799 |
+
<div class="timeline-date">Jun 2023</div>
|
| 800 |
+
<strong>JSAI Annual Conference Excellence Award</strong><br>
|
| 801 |
+
Automatic Generation of High-Quality Counterarguments by Large Language Models
|
| 802 |
+
</div>
|
| 803 |
</div>
|
| 804 |
""", unsafe_allow_html=True)
|
| 805 |
|
|
|
|
| 811 |
<div class="glow-card">
|
| 812 |
<div class="timeline-item">
|
| 813 |
<div class="timeline-date">2025年4月 - 現在</div>
|
| 814 |
+
<strong>現所属</strong><br>
|
| 815 |
+
「現在の所属」に記載
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 816 |
</div>
|
| 817 |
<div class="timeline-item">
|
| 818 |
<div class="timeline-date">2023年4月 - 2025年3月</div>
|
|
|
|
| 824 |
<strong>大阪府立大学</strong><br>
|
| 825 |
工学域 機械系学類
|
| 826 |
</div>
|
| 827 |
+
<div class="timeline-item">
|
| 828 |
+
<div class="timeline-date">2018年8月 - 現在</div>
|
| 829 |
+
<strong>個人事業主</strong><br>
|
| 830 |
+
---------
|
| 831 |
+
</div>
|
| 832 |
</div>
|
| 833 |
""", unsafe_allow_html=True)
|
| 834 |
else:
|
|
|
|
| 836 |
<div class="glow-card">
|
| 837 |
<div class="timeline-item">
|
| 838 |
<div class="timeline-date">Apr 2025 - Present</div>
|
| 839 |
+
<strong>Current Affiliations</strong><br>
|
| 840 |
+
Listed in "Current Affiliations" section
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 841 |
</div>
|
| 842 |
<div class="timeline-item">
|
| 843 |
<div class="timeline-date">Apr 2023 - Mar 2025</div>
|
| 844 |
<strong>Osaka Metropolitan University, Master Program</strong><br>
|
| 845 |
+
Graduate School of Engineering, Mechanical Engineering
|
| 846 |
</div>
|
| 847 |
<div class="timeline-item">
|
| 848 |
<div class="timeline-date">Apr 2019 - Mar 2023</div>
|
| 849 |
<strong>Osaka Prefecture University</strong><br>
|
| 850 |
+
School of Engineering, Mechanical Engineering
|
| 851 |
+
</div>
|
| 852 |
+
<div class="timeline-item">
|
| 853 |
+
<div class="timeline-date">Aug 2018 - Present</div>
|
| 854 |
+
<strong>Freelancer/Self-employed</strong><br>
|
| 855 |
+
---------
|
| 856 |
</div>
|
| 857 |
</div>
|
| 858 |
""", unsafe_allow_html=True)
|
|
|
|
| 860 |
# 研究発表(詳細付き)
|
| 861 |
st.markdown(f'<h2>{content[lang]["publications"]}</h2>', unsafe_allow_html=True)
|
| 862 |
|
| 863 |
+
if lang == 'ja':
|
| 864 |
+
publications = [
|
| 865 |
+
{
|
| 866 |
+
'id': 'pub1',
|
| 867 |
+
'date': '2025年4月',
|
| 868 |
+
'title': 'LLM DEBATE OPPONENT: Counter-argument Generation focusing on Implicit and Critical Premises',
|
| 869 |
+
'venue': 'NAACL 2025 Student Research Workshop',
|
| 870 |
+
'authors': 'Taisei Ozaki, Chihiro Nakagawa, Naoya Inoue, Shoichi Naito, Kenshi Yamaguchi',
|
| 871 |
+
'abstract': 'ディベート教育は批判的思考スキルを育成するが、しばしば高い人的コストを伴う。LLMによる反駁生成の自動化において、暗黙的・批判的前提をどのように標的にするかが課題となっている。本研究では、100のディベートトピックにおいて多段階と一段階の生成手法を体系的に比較し、一段階アプローチが一貫して優れた性能を示すことを明らかにした。'
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
'id': 'pub2',
|
| 875 |
+
'date': '2025年3月',
|
| 876 |
+
'title': 'LLM as a Debate Judge: 学習者ディベーターへの自動フィードバック生成',
|
| 877 |
+
'venue': '言語処理学会第31回年次大会',
|
| 878 |
+
'authors': '天野祥太朗, 新谷篤彦, 尾崎大晟, 中川智皓, 井之上直也, 内藤昭一, 山口健史',
|
| 879 |
+
'abstract': 'ディベート学習支援のためのLLMベース自動フィードバックシステムを提案。学習者のディベート技能向上を支援するための包括的なフィードバック生成手法について検討した。'
|
| 880 |
+
},
|
| 881 |
+
{
|
| 882 |
+
'id': 'pub3',
|
| 883 |
+
'date': '2024年6月',
|
| 884 |
+
'title': 'LLMによる前提生成ステップを用いた反論の攻撃力向上手法',
|
| 885 |
+
'venue': '人工知能学会全国大会第38回(優秀賞受賞)',
|
| 886 |
+
'authors': '尾﨑大晟, 中川智皓, 内藤昭一, 井之上直也, 山口健史, 天野祥太郎',
|
| 887 |
+
'abstract': 'LLMによる前提生成ステップを導入することで、反論の攻撃力を向上させる新たな手法を提案。従来手法と比較して有意な性能向上を実現した。'
|
| 888 |
+
},
|
| 889 |
+
{
|
| 890 |
+
'id': 'pub4',
|
| 891 |
+
'date': '2024年3月',
|
| 892 |
+
'title': '大規模言語モデルを用いた有効反論箇所としての前提生成',
|
| 893 |
+
'venue': '言語処理学会第30回年次大会',
|
| 894 |
+
'authors': '新谷篤彦, 尾崎大晟, 中川智皓, 井之上直也, 内藤昭一, 山口健史, 天野祥太朗',
|
| 895 |
+
'abstract': '大規模言語モデルを用いて有効な反論箇所としての前提を生成する手法を提案。反論の質の向上に寄与する重要な前提の特定と生成について検討した。'
|
| 896 |
+
},
|
| 897 |
+
{
|
| 898 |
+
'id': 'pub5',
|
| 899 |
+
'date': '2024年5月',
|
| 900 |
+
'title': '異常検知モデルを用いた電動キックボード乗車時のドライバの障害物への気付きの推定',
|
| 901 |
+
'venue': 'ロボティクス・メカトロニクス講演会2024',
|
| 902 |
+
'authors': '坪本颯史, 中川智皓, 尾崎大晟, 新谷篤彦, 松井雄吾',
|
| 903 |
+
'abstract': '電動キックボード乗車時における安全性向上のため、異常検知モデルを用いてドライバの障害物への気付きを推定する手法を開発。実際の走行データを用いた検証を行った。'
|
| 904 |
+
},
|
| 905 |
+
{
|
| 906 |
+
'id': 'pub6',
|
| 907 |
+
'date': '2024年6月',
|
| 908 |
+
'title': '大規模言語モデルの生成反論文のテンプレート追従性',
|
| 909 |
+
'venue': '人工知能学会全国大会第38回',
|
| 910 |
+
'authors': '天野祥太朗, 中川智皓, 内藤昭一, 井之上直也, 山口健史, 尾崎大晟, 新谷篤彦',
|
| 911 |
+
'abstract': '大規模言語モデルが生成する反論文のテンプレート追従��について分析。ディベート教育における構造化された反論文生成の有効性を検証した。'
|
| 912 |
+
},
|
| 913 |
+
{
|
| 914 |
+
'id': 'pub7',
|
| 915 |
+
'date': '2023年6月',
|
| 916 |
+
'title': '大規模言語モデルによる高品質反論文の自動生成',
|
| 917 |
+
'venue': '人工知能学会全国大会第37回(優秀賞受賞)',
|
| 918 |
+
'authors': '尾崎大晟, 中川智皓, 内藤昭一, 井之上直也, 山口健史, 新谷篤彦',
|
| 919 |
+
'abstract': '大規模言語モデルを用いて高品質な反論文を自動生成する手法を提案。ディベート教育における実用的な応用可能性を示した。'
|
| 920 |
+
}
|
| 921 |
+
]
|
| 922 |
+
else:
|
| 923 |
+
publications = [
|
| 924 |
+
{
|
| 925 |
+
'id': 'pub1',
|
| 926 |
+
'date': 'April 2025',
|
| 927 |
+
'title': 'LLM DEBATE OPPONENT: Counter-argument Generation focusing on Implicit and Critical Premises',
|
| 928 |
+
'venue': 'NAACL 2025 Student Research Workshop',
|
| 929 |
+
'authors': 'Taisei Ozaki, Chihiro Nakagawa, Naoya Inoue, Shoichi Naito, Kenshi Yamaguchi',
|
| 930 |
+
'abstract': 'Debate education fosters critical thinking skills but often incurs high human costs. We systematically compare multi-step and one-step generation methods for counter-arguments across 100 debate topics, finding that one-step approaches consistently outperform multi-step pipelines due to better grasp of motion spirit and minimized hallucination propagation.'
|
| 931 |
+
},
|
| 932 |
+
{
|
| 933 |
+
'id': 'pub2',
|
| 934 |
+
'date': 'March 2025',
|
| 935 |
+
'title': 'LLM as a Debate Judge: Automatic Feedback Generation for Student Debaters',
|
| 936 |
+
'venue': 'The 31st Annual Meeting of the Association for Natural Language Processing',
|
| 937 |
+
'authors': 'Shotaro Amano, Atsuhiko Shintani, Taisei Ozaki, Chihiro Nakagawa, Naoya Inoue, Shoichi Naito, Kenshi Yamaguchi',
|
| 938 |
+
'abstract': 'We propose an LLM-based automatic feedback system for debate learning support. This comprehensive feedback generation method assists learners in improving their debate skills.'
|
| 939 |
+
},
|
| 940 |
+
{
|
| 941 |
+
'id': 'pub3',
|
| 942 |
+
'date': 'June 2024',
|
| 943 |
+
'title': 'Method for Enhancing Counterargument Attack Power Using LLM-based Premise Generation',
|
| 944 |
+
'venue': 'The 38th JSAI Annual Conference (Excellence Award)',
|
| 945 |
+
'authors': 'Taisei Ozaki, Chihiro Nakagawa, Shoichi Naito, Naoya Inoue, Kenshi Yamaguchi, Shotaro Amano',
|
| 946 |
+
'abstract': 'We propose a novel method to enhance counterargument attack power by introducing LLM-based premise generation steps, achieving significant performance improvements compared to conventional methods.'
|
| 947 |
+
},
|
| 948 |
+
{
|
| 949 |
+
'id': 'pub4',
|
| 950 |
+
'date': 'March 2024',
|
| 951 |
+
'title': 'Premise Generation as Effective Counterargument Points Using Large Language Models',
|
| 952 |
+
'venue': 'The 30th Annual Meeting of the Association for Natural Language Processing',
|
| 953 |
+
'authors': 'Atsuhiko Shintani, Taisei Ozaki, Chihiro Nakagawa, Naoya Inoue, Shoichi Naito, Kenshi Yamaguchi, Shotaro Amano',
|
| 954 |
+
'abstract': 'We propose a method for generating premises as effective counterargument points using large language models, contributing to improved quality of counterarguments through identification and generation of important premises.'
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
'id': 'pub5',
|
| 958 |
+
'date': 'May 2024',
|
| 959 |
+
'title': 'Estimation of Driver Awareness of Obstacles When Riding Electric Kick Scooters Using Anomaly Detection Models',
|
| 960 |
+
'venue': 'Robotics and Mechatronics Conference 2024',
|
| 961 |
+
'authors': 'Soshi Tsubomoto, Chihiro Nakagawa, Taisei Ozaki, Atsuhiko Shintani, Yugo Matsui',
|
| 962 |
+
'abstract': 'We developed a method to estimate driver awareness of obstacles when riding electric kick scooters using anomaly detection models to improve safety, validated using actual driving data.'
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
'id': 'pub6',
|
| 966 |
+
'date': 'June 2024',
|
| 967 |
+
'title': 'Template Adherence of Large Language Model-Generated Counterarguments',
|
| 968 |
+
'venue': 'The 38th JSAI Annual Conference',
|
| 969 |
+
'authors': 'Shotaro Amano, Chihiro Nakagawa, Shoichi Naito, Naoya Inoue, Kenshi Yamaguchi, Taisei Ozaki, Atsuhiko Shintani',
|
| 970 |
+
'abstract': 'We analyzed the template adherence of counterarguments generated by large language models, validating the effectiveness of structured counterargument generation in debate education.'
|
| 971 |
+
},
|
| 972 |
+
{
|
| 973 |
+
'id': 'pub7',
|
| 974 |
+
'date': 'June 2023',
|
| 975 |
+
'title': 'Automatic Generation of High-Quality Counterarguments by Large Language Models',
|
| 976 |
+
'venue': 'The 37th JSAI Annual Conference (Excellence Award)',
|
| 977 |
+
'authors': 'Taisei Ozaki, Chihiro Nakagawa, Shoichi Naito, Naoya Inoue, Kenshi Yamaguchi, Atsuhiko Shintani',
|
| 978 |
+
'abstract': 'We propose a method for automatically generating high-quality counterarguments using large language models, demonstrating practical applicability in debate education.'
|
| 979 |
+
}
|
| 980 |
+
]
|
| 981 |
|
| 982 |
for pub in publications:
|
| 983 |
with st.expander(f"📄 {pub['title']}", expanded=False):
|
|
|
|
| 986 |
<span class="timeline-date">{pub['date']}</span> |
|
| 987 |
<span style="color: var(--text-secondary);">{pub['venue']}</span>
|
| 988 |
</div>
|
| 989 |
+
<div style="margin-bottom: 1rem;">
|
| 990 |
+
<strong style="color: var(--primary);">{"著者" if lang == 'ja' else "Authors"}:</strong><br>
|
| 991 |
+
<span style="color: var(--text-secondary);">{pub['authors']}</span>
|
| 992 |
+
</div>
|
| 993 |
<p>{pub['abstract']}</p>
|
| 994 |
""", unsafe_allow_html=True)
|
| 995 |
|
|
|
|
| 1025 |
st.markdown("""
|
| 1026 |
<div class="glow-card">
|
| 1027 |
<h3 style="color: var(--primary); font-size: 1.3rem;">NEDO Geniac Project</h3>
|
| 1028 |
+
<p>Serving as team leader in the large language model development project at University of Tokyo Matsuo Institute</p>
|
| 1029 |
</div>
|
| 1030 |
""", unsafe_allow_html=True)
|
| 1031 |
|
|
|
|
| 1044 |
<a href="mailto:[email protected]">[email protected]</a>
|
| 1045 |
</div>
|
| 1046 |
<div style="margin-bottom: 1rem;">
|
| 1047 |
+
<strong>{"松尾研究所" if lang == 'ja' else "Matsuo Institute"}</strong><br>
|
| 1048 |
<a href="mailto:[email protected]">[email protected]</a>
|
| 1049 |
</div>
|
| 1050 |
+
<div style="margin-bottom: 1rem;">
|
| 1051 |
+
<strong>{"東京大学" if lang == 'ja' else "The University of Tokyo"}</strong><br>
|
| 1052 |
+
<a href="mailto:[email protected]">[email protected]</a>
|
| 1053 |
+
</div>
|
| 1054 |
<div style="margin-bottom: 1rem;">
|
| 1055 |
<strong>{"個人" if lang == 'ja' else "Personal"}</strong><br>
|
| 1056 |
+
<a href="mailto:taisei.ozaki.lab@gmail.com">taisei.ozaki.lab@gmail.com</a>
|
| 1057 |
</div>
|
| 1058 |
</div>
|
| 1059 |
""", unsafe_allow_html=True)
|