Minsik Cho
Minsik Cho has 2 papers in our library, in 2024, most of them on Language models & pretraining; often with Mehrdad Farajtabar, Iman Mirzadeh, Keivan Alizadeh.
OpenAlex · ORCID · h-index 8 · 40 works · 256 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 97 times in our library · ⭐ Paper Stars ranking: #5681
Affiliations
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 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work
🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 2 works
Works by year
2020s
Papers
- LLM in a flash: Efficient Large Language Model Inference with Limited Memory (2024 · 193 citations)
The paper addresses running LLMs whose weights do not fit into a device's DRAM, as on phones and laptops. The authors keep the full model in flash storage and fetch only the parameters needed for each generated token. They build an inference cost model that splits latency into flash I/O, memory management overhead… - Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization (2024 · 8 citations)
Training large language models from random weights is slow and costly, while small models are cheap but less accurate.
Co-authors here
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