most citedCOSMIC: Enabling Full-Stack Co-Design and Optimization of Distributed Machine Learning Systems

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cs.AR2025

QuArch: A Benchmark for Evaluating LLM Reasoning in Computer Architecture

Shvetank Prakash, Andrew Cheng, Mark Mazumder +24

The field of computer architecture, which bridges high-level software abstractions and low-level hardware implementations, remains absent from current large language model (LLM) ev…

cs.AR2025

QuArch: A Question-Answering Dataset for AI Agents in Computer Architecture

Shvetank Prakash, Andrew Cheng, Jason Yik +14

We introduce QuArch, a dataset of 1500 human-validated question-answer pairs designed to evaluate and enhance language models' understanding of computer architecture. The dataset c…