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<!DOCTYPE html>
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    <title>OpenNLP Research Group</title>
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        <ul class="nav-links">
            <li><a href="#about">About</a></li>
            <li><a href="#demos">Demos</a></li>
            <li><a href="#projects">Projects</a></li>
            <li><a href="#publications">Publications</a></li>
            <li><a href="#huggingface">Huggingface</a></li>
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    <section class="hero">
        <h1>OpenNLP Research Group</h1>
        <p>Advancing Open Research in Language Models and Dialogue Systems</p>
    </section>

    <section id="about" class="section">
        <h2 class="section-title">Our Mission</h2>
        <p>We are an open research collective dedicated to advancing NLP technologies through transparent collaboration. Our focus areas include:</p>
        <br>
        <ul>
            <li><strong>Efficient LLM Training & Alignment</strong></li>
            <li><strong>Multi-turn Dialogue Systems</strong></li>
            <li><strong>Open-source Model Development</strong></li>
        </ul>
    </section>

    <section id="demos" class="section">
        <h2 class="section-title">Recent Demo Pages</h2>
        <div class="projects-grid">
            <article class="project-card">
                <h3>Demos for F5R-TTS</h3>
                <p>Demonstrate the F5R-TTS arch and results.</p>
                <a href="https://frontierlabs.github.io/F5R/" target="_blank">View</a>
            </article>
        </div>
        <!-- Add more publications -->
    </section>

    <section id="projects" class="section">
        <h2 class="section-title">Open Projects</h2>
        <div class="projects-grid">
            <article class="project-card">
                <h3>InternVL-Llama.cpp: High-Performance Adapter for InternVL
                </h3>
                <p>A specialized adaptation of llama.cpp for InternVL series multimodal models, enabling efficient CPU/GPU inference for vision-language tasks with optimized memory usage and performance.</p>
                <a href="https://github.com/FrontierLabs/llama.cpp" target="_blank">View on GitHub →</a>
            </article>

            <article class="project-card">
                <h3>Optimized Sign Language Processing Implementations (CSLR and Two-Stream)
                </h3>
                <p>Optimizing the Comprehensive CSLR Workflow Implementation, Traning Efficiency, Fixing Errors and Providing more dataset support for CSLR and Two-Stream methods.</p>
                <a href="https://github.com/FrontierLabs/SLRT" target="_blank">View on GitHub →</a>
            </article>
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    </section>

    <section id="publications" class="section">
        <h2 class="section-title">Recent Publications</h2>
        <div class="publication-item">
            <h3>RAIDEN Benchmark: Evaluating Role-playing Conversational Agents with Measurement-Driven Custom Dialogues</h3>
            <div class="pub-meta">
                <span>Wu et al.</span> |
                <em>COLING 2025</em> |
                <img src="https://github.githubassets.com/images/modules/logos_page/GitHub-Mark.png" alt="GitHub Logo" width="16">
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            <div class="pub-links">
                <a href="https://aclanthology.org/2025.coling-main.735.pdf" target="_blank">[PDF]</a>
                <a href="https://github.com/FrontierLabs/RAIDEN" target="_blank">[Code]</a>
                <a href="https://huggingface.co/FrontierLab/RPCAJudger" target="_blank">[Model]</a>
            </div>
        </div>
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        <a href="https://frontierlabs.github.io/publications" class="more-link">More →</a>
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    </section>

    <section id="huggingface" class="section">
        <h2 class="section-title">Huggingface Hub</h2>
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            <a href="https://huggingface.co/FrontierLab" class="hf-badge" target="_blank">
                <img src="https://huggingface.co/front/assets/huggingface_logo.svg" alt="HF Logo" width="30">
                Our Data & Models Hub
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