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Hugging Face launches LiveCodeBench to evaluate code LLMs without contamination

Hugging Face has launched LiveCodeBench, a new leaderboard designed to evaluate code-generating large language models (LLMs) more effectively. This benchmark aims to provide a contamination-free assessment by using live coding environments, ensuring that models are tested on their ability to generate correct and functional code rather than memorized solutions. The leaderboard will track performance across various coding tasks, offering a more reliable measure of a code LLM's true capabilities. AI

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RANK_REASON Launch of a new benchmark and leaderboard for evaluating code LLMs.

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