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Mingyu Xu

Mingyu Xu has 3 papers in our library, in 2024–2025, most of them on Language models & pretraining; often with Bingning Wang, Hongyu Lin, Qingyu Zhang.

3 papers in our library · 2024–2025

OpenAlex · ORCID · h-index 4 · 10 works · 80 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 150 times in our library · ⭐ Paper Stars ranking: #5640

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

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 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. ShortGPT: Layers in Large Language Models are More Redundant Than You Expect (2024 · 170 citations)
    Modern LLMs are expensive to deploy, and many existing pruning techniques are complicated, for example those that require gradients.
  2. Baichuan-M1: Pushing the Medical Capability of Large Language Models (2025 · 24 citations)
    General-purpose LLMs often lack depth in medicine, where knowledge is specialized and good training data is scarce.
  3. Base of RoPE Bounds Context Length (2024 · 12 citations)
    RoPE is the standard position encoding in many LLMs, and context windows are usually extended by changing its single hyperparameter, the base.

 Co-authors here

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

 Cited by

Papers of our library cite their works 150 times (of the 149,439 papers whose bibliographies we read); 27 citing papers with a page here →.

Updated

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