Yuanzhong Xu
Yuanzhong Xu has 2 papers in our library, in 2021–2022, most of them on Language models & pretraining; often with Yanping Huang, Adams Wei Yu, Andrew M. Dai.
OpenAlex · ORCID · Wikidata · h-index 27 · 58 works · 3,086 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 6,245 times in our library · 5 more in our library without a page yet · ⭐ Paper Stars ranking: #3212
Affiliations
Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 workComputer Networks and Communications · 1 workComputer Vision and Pattern Recognition · 1 workHardware and Architecture · 1 work
🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work
Works by year
2020s
Papers
- GLaM: Efficient Scaling of Language Models with Mixture-of-Experts (2021 · 496 citations)
Scaling dense language models such as GPT-3 improves few-shot learning, but the compute and energy needed to train and serve them grow steeply. - Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep Learning (2022 · 279 citations)
Training models with billions of parameters requires combining data, operator and pipeline parallelism. Until now, engineers either designed that combination by hand for a specific model and cluster, as with Megatron-LM's "3D parallelism", or used automatic tools that search only one kind of parallelism. Alpa takes a…
All works
- GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding ↗arXiv:2006.16668 · no summary yetDmitry Lepikhin et al.2020 · 894 citations
- GLaM: Efficient Scaling of Language Models with Mixture-of-ExpertsarXiv:2112.06905Nan Du, Yanping Huang, Andrew M. Dai, et al.2021 · 496 citations
- Alpa: Automating Inter- and Intra-Operator Parallelism for Distributed Deep LearningOSDI 2022Lianmin Zheng, Zhuohan Li, Hao Zhang, et al.2022 · 279 citations
- BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition ↗IEEE Journal of Selected Topics in Signal Processing · no summary yetYu Zhang et al.2022 · 180 citations
- GSPMD: General and Scalable Parallelization for ML Computation Graphs ↗arXiv (Cornell University) · no summary yetYuanzhong Xu et al.2021 · 119 citations
- Exploring the limits of Concurrency in ML Training on Google TPUs ↗arXiv (Cornell University) · no summary yetSameer Kumar et al.2020 · 14 citations
- Learning to Skip for Language Modeling ↗arXiv (Cornell University) · no summary yetZeng, Dewen et al.2023 · 8 citations
Co-authors here
- Yanping Huang ×2
- Adams Wei Yu
- Andrew M. Dai
- Barret Zoph
- Danyang Zhuo
- Dmitry Lepikhin
- Eric P. Xing
- Hao Zhang
- Lianmin Zheng
- Maxim Krikun
- Nan Du
- Orhan Firat
Venues
- IEEE Journal of Selected Topics in Signal Processing
- OSDI 2022
Cited by
Updated
This page in Markdown → https://md.research.elamur.ai/free/en/authors/yuanzhong-xu/