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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.

2 papers in our library · 2026

OpenAlex · h-index 0 · 2 works · 0 citations OpenAlex, 2026-10-14

📄 2 works in our library · ⭐ Paper Stars ranking: #12322

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. 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.
  2. 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

2 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/yung-hui-li/