Can LLMs Perform Deep Technical Comprehension of Computer Architecture Papers
This article discusses a research paper investigating whether Large Language Models (LLMs) can achieve deep technical comprehension of computer architecture research. It provides links to the paper's metadata, source code, and various academic tracking tools.
Why it matters
As LLMs become standard tools for researchers, verifying their ability to accurately interpret complex technical literature is critical for scientific progress.
Focus to learn more arXiv-issued DOI via DataCite (pending registration) Submission history From: Ranganath Selagamsetty [ view email ] [v1] Mon, 13 Jul 2026 17:45:58 UTC (1,070 KB) Full-text links: Access Paper: View a PDF of the paper titled Can LLMs Perform Deep Technical Comprehension of Computer Architecture Papers?, by Nishant Aggarwal and 9 other authors View PDF HTML (experimental) TeX Source view license Current browse context: cs.CY < prev | next > new | recent | 2026-07 Change to browse by: cs cs.AR cs.MA References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps?
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