Yung-Hui Li
Yung-Hui Li has 2 papers in our library, in 2026, most of them on Language models & pretraining, Efficient models & compression; often with Lun-Wei Ku, Luis Frentzen Salim.
OpenAlex · h-index 0 · 2 works · 0 citations OpenAlex, 2026-10-14
Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workSocial Sciences · 1 workSociology and Political Science · 1 work
🧭 Topics 2Research subjects and languages the work is about.Efficient models & compression · 1 workLanguage models & pretraining · 1 work
Works by year
2020s
Papers
- Expert Calibration Lens for Pruning Mixture of Experts (2026)
Expert pruning makes Mixture-of-Experts (MoE) models cheaper to deploy, but its results depend heavily on the calibration set. - Truth or Dare: Analyzing LLM Susceptibility to External Evidence of Varying Factuality (2026)
This paper asks how the specific properties of false retrieved evidence affect how easily LLMs are misled in retrieval-augmented question answering.
Co-authors here
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
- Workshop on Trustworthy NLP: Workshop on Trustworthy NLP 2026
Updated
This page in Markdown → https://md.research.elamur.ai/free/en/authors/yung-hui-li/