--- title: "Minsik Cho — author profile and papers — Elamur Research" description: "Minsik Cho, Apple: 2 papers on Elamur Research (2024), h-index 8 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/minsik-cho/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/minsik-cho/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Minsik Cho # Minsik Cho Minsik Cho has 2 papers in our library, in 2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/); often with [Mehrdad Farajtabar](https://md.research.elamur.ai/free/en/authors/mehrdad-farajtabar/), [Iman Mirzadeh](https://md.research.elamur.ai/free/en/authors/iman-mirzadeh/), [Keivan Alizadeh](https://md.research.elamur.ai/free/en/authors/keivan-alizadeh/). 2 papers in our library · 2024 [OpenAlex](https://openalex.org/A5115076654) · [ORCID](https://orcid.org/0000-0003-0481-2682) · [**h-index 8**](https://openalex.org/authors/A5115076654) · [40 works](https://openalex.org/works?filter=author.id:A5115076654) · [256 citations](https://openalex.org/works?filter=author.id:A5115076654&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/minsik-cho/#papers) · [🔗 Cited 97 times in our library](https://md.research.elamur.ai/free/en/authors/minsik-cho/cited-by/) · [⭐ Paper Stars ranking: #5681](https://md.research.elamur.ai/free/en/paper-stars/page/57/#star-5681) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Minsik+Cho) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Minsik+Cho) · [dblp](https://dblp.org/search?q=Minsik+Cho) · [ACL Anthology](https://aclanthology.org/search/?q=Minsik+Cho) ## Affiliations [🏢**Apple** Cupertino · United States 2021–2025 · 10 papers*current*](https://md.research.elamur.ai/free/en/companies/apple/) · [🏢**IBM** Armonk · United States 2017–2020 · 5 papers](https://md.research.elamur.ai/free/en/companies/ibm/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 1 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) ## Works by year ### 2020s [**2024** 2 papers](https://md.research.elamur.ai/free/en/authors/minsik-cho/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[LLM in a flash: Efficient Large Language Model Inference with Limited Memory](https://md.research.elamur.ai/free/en/papers/alizadeh-2024-llm-flash-efficient-large-language/)** *(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… 2. **[Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization](https://md.research.elamur.ai/free/en/papers/samragh-2024-scaling-smart-accelerating-large-language/)** *(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 5 co-authors with a page, the most papers together first. - [Mehrdad Farajtabar](https://md.research.elamur.ai/free/en/authors/mehrdad-farajtabar/) ×2 - [Iman Mirzadeh](https://md.research.elamur.ai/free/en/authors/iman-mirzadeh/) - [Keivan Alizadeh](https://md.research.elamur.ai/free/en/authors/keivan-alizadeh/) - [Moin Nabi](https://md.research.elamur.ai/free/en/authors/moin-nabi/) - [Seyed Iman Mirzadeh](https://md.research.elamur.ai/free/en/authors/seyed-iman-mirzadeh/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2024](https://md.research.elamur.ai/free/en/venues/acl/2024/) ## Cited by Papers of our library cite their works 97 times (of the 149,439 papers whose bibliographies we read); [5 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/minsik-cho/cited-by/). Updated 30 October 2026