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Zihao He

9 papers at tracked venues · 4 at CORE A* · active 2024–2026

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Venues

EMNLP ×3ACL ×2AAAI ×1CHI ×1EACL ×1NAACL ×1

Frequent coauthors

Minh Duc Chu
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Kai Chen
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Junjie Wu
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Hsien-Te Kao
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Papers

  1. BigTokDetect: A Clinically-Informed Vision-Language Modeling Framework for Detecting Pro-Bigorexia Videos on TikTok
    EACL 2026 ·
    Minh Duc Chu
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  2. Multi-Task Reinforcement Learning for Enhanced Multimodal LLM-as-a-Judge
    ACL 2026 ·
    Junjie Wu
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  3. BUFF: Bayesian Uncertainty Guided Diffusion Probabilistic Model for Single Image Super-Resolution
    AAAI 2025 · Zihao He
  4. Improving and Assessing the Fidelity of Large Language Models Alignment to Online Communities
    NAACL 2025 ·
    Minh Duc Chu
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  5. STEER-BENCH: A Benchmark for Evaluating the Steerability of Large Language Models
    EMNLP 2025 ·
    Kai Chen
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  6. Community-Cross-Instruct: Unsupervised Instruction Generation for Aligning Large Language Models to Online Communities
    EMNLP 2024 · Zihao He
  7. How Susceptible are Large Language Models to Ideological Manipulation?
    EMNLP 2024 ·
    Kai Chen
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  8. Machine Learning Insights Into Eating Disorder Twitter Communities
    CHI 2024 ·
    Hsien-Te Kao
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  9. Whose Emotions and Moral Sentiments do Language Models Reflect?
    ACL 2024 · Zihao He