Sheng-Lun (Kevin) Wei

CS PhD Candidate @ National Taiwan University

I am a CS PhD candidate at National Taiwan University, working on LLM biases & fairness, multimodal AI, and LLM evaluation. With 6+ years of industry experience at ShopBack, Junyi Academy, and KKStream, I bridge the gap between research and real-world applications. I also serve as an adjunct instructor at NTU's Center of General Education and Department of Economics, and founded ccClub (社團法人攜曦程式推廣學會), a non-profit organization dedicated to programming education, serving 4,000+ learners since 2016.

Kevin Wei

Research Interests

LLM Biases & FairnessLLM-as-a-JudgeMultimodal LLMsTrustworthy NLP

Selected Publications

Recent research in Natural Language Processing and Large Language Models

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No One Fits All: From Fixed Prompting to Learned Routing in Multilingual LLMs

Wei-Chi Wu, Sheng-Lun Wei, Hen-Hsen Huang, Hsin-Hsi Chen

Findings of ACL 2026
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Do Multimodal LLMs Understand Order? Measuring the Fragility of Multimodal Reasoning under Input Order Perturbations

Sheng-Lun Wei, Yu-Ling Liao, Hen-Hsen Huang, Hsin-Hsi Chen

LREC 2026
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Bias in the Ear of the Listener: Assessing Sensitivity in Audio Language Models Across Linguistic, Demographic, and Positional Variations

Sheng-Lun Wei, Yu-Ling Liao, Yu-Hung Chang, Hen-Hsen Huang, Hsin-Hsi Chen

Findings of EACL 2026
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Retrieving the Right Law: Enhancing Legal Search with Style Translation

Szu-Ju Chen, Jing Jin, Sheng-Lun Wei, Chien-Hung Chen, Hsin-Hsi Chen

SIGIR 2025
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Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models

Sheng-Lun Wei, Cheng-Kuang Wu, Hen-Hsen Huang, Hsin-Hsi Chen

Findings of ACL 2024
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Experience

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Education
2019 - Present (Expected 2026)
PhD, Computer Science
National Taiwan University
Main Research Area: Large Language Model
Teaching
2021 - Present
Adjunct Instructor
Center of General Education, National Taiwan University
Programming and Web Scraping (GenEdu5010)
Work
2022/05 - 2023/06
Machine Learning Engineer
ShopBack | Taipei, Taiwan

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