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.
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
Affiliations
Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksComputer Vision and Pattern Recognition · 3 worksLanguage and Linguistics · 3 worksMedicine · 1 workHealth Informatics · 1 work
🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work
Works by year
2020s
Papers
- 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. - 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. - 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
- Bingning Wang ×3
- Hongyu Lin ×2
- Qingyu Zhang ×2
- Weipeng Chen ×2
- Xianpei Han ×2
- Xin Men ×2
- Da Pan
- Wei Cheng
- Xiangrong Zeng
- Yaojie Lu
- Yuqi Huo
Cited by
Updated
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