Kaikai Song
Kaikai Song has 2 papers in our library, in 2025, most of them on Language models & pretraining; often with Dong Li, Yasheng Wang, Bin Wang.
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📄 2 works in our library · 🔗 Cited 19 times in our library · ⭐ Paper Stars ranking: #9148
Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 works
🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 2 works
Works by year
2020s
Papers
- Pangu Embedded: An Efficient Dual-system LLM Reasoner with Metacognition (2025 · 13 citations)
Reasoning-focused LLMs such as DeepSeek-R1 are expensive to deploy because they are very large and generate long chains of thought, sometimes tens of thousands of tokens per problem. - Pangu Ultra: Pushing the Limits of Dense Large Language Models on Ascend NPUs (2025 · 6 citations)
Pangu Ultra is Huawei's effort to show that a very deep dense Transformer, trained entirely on Ascend NPUs instead of GPUs, can compete with much larger sparse MoE systems.
Co-authors here
- Dong Li ×2
- Yasheng Wang ×2
- Bin Wang
- Can Chen
- Fei Mi
- Hanting Chen
- Haoyu Wang
- Jinpeng Li
- Kai Han
- Lin Li
- Wei Guo
- Wenyong Huang
Cited by
Updated
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