4 citations · 4 across the 3 of their papers we have counts for
3 papers
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.CL2023
LLMs as Potential Brainstorming Partners for Math and Science Problems
Sophia Gu
With the recent rise of widely successful deep learning models, there is emerging interest among professionals in various math and science communities to see and evaluate the state…
cs.CV2022★ 4 cited
I Can't Believe There's No Images! Learning Visual Tasks Using only Language Supervision
Sophia Gu, Christopher Clark, Aniruddha Kembhavi
Many high-level skills that are required for computer vision tasks, such as parsing questions, comparing and contrasting semantics, and writing descriptions, are also required in o…