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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.

2 papers in our library · 2025

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📄 2 works in our library · 🔗 Cited 19 times in our library · ⭐ Paper Stars ranking: #9148

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. 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.
  2. 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

12 of 17 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 19 times (of the 149,439 papers whose bibliographies we read); 9 citing papers with a page here →.

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