Can Language Models Solve Olympiad Programming? Researchers at Princeton University Introduce USACO Benchmark for Rigorously Evaluating Code Language Models

Code generation has emerged as a significant area for evaluating and deploying Large Language Models (LLMs). However, many of the current coding benchmarks, like HumanEval and MBPP, have achieved solution rates above 90% as language models have grown in size and new inference techniques have been created. This saturation points to the need for more […]

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