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Can Language Models Solve Olympiad Programming?
April 18, 2024, 4:46 a.m. | Quan Shi, Michael Tang, Karthik Narasimhan, Shunyu Yao
cs.CL updates on arXiv.org arxiv.org
Abstract: Computing olympiads contain some of the most challenging problems for humans, requiring complex algorithmic reasoning, puzzle solving, in addition to generating efficient code. However, it has been understudied as a domain to evaluate language models (LMs). In this paper, we introduce the USACO benchmark with 307 problems from the USA Computing Olympiad, along with high-quality unit tests, reference code, and official analyses for each problem. These resources enable us to construct and test a range …
abstract arxiv benchmark code computing cs.ai cs.cl cs.pl domain however humans language language models lms olympiad paper programming puzzle reasoning solve type
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