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Kai Dong

Kai Dong has 2 papers in our library, in 2024, most of them on Language models & pretraining, GPU & parallel computing, Vision & language; often with Chengqi Deng, Bingxuan Wang, Bo Liu.

2 papers in our library · 2024

No OpenAlex profile matched yet.

📄 2 works in our library · 🔗 Cited 171 times in our library · ⭐ Paper Stars ranking: #5346

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. DeepSeek-VL: Towards Real-World Vision-Language Understanding (2024 · 208 citations)
    DeepSeek-VL is an open-source vision-language model from DeepSeek-AI. It targets a known problem: open models score well on academic benchmarks but often fall short of proprietary systems like GPT-4V in practical use. The authors attribute this to three causes: too little multimodal pretraining, instruction data…
  2. Fire-Flyer AI-HPC: A Cost-Effective Software-Hardware Co-Design for Deep Learning (2024 · 34 citations)
    Compute and bandwidth needs for deep learning, especially LLMs, are rising much faster than hardware improves. Fast chips and interconnects make large clusters costly to build and run. DeepSeek-AI presents Fire-Flyer AI-HPC, a combined hardware and software design for building such infrastructure cheaply.

 Co-authors here

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

 Cited by

Papers of our library cite their works 171 times (of the 149,439 papers whose bibliographies we read); 38 citing papers with a page here →.

Updated

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