CodeRankEval
Published in ScienceDB • Nov 17, 2025
Authors:,,
陈立果
肖正
徐邑江
Abstract
This project provides the benchmark dataset introduced in the paper "CodeRankEval: Benchmarking and Analyzing LLM Performance for Code Ranking". It aims to evaluate and analyze the performance of large language models (LLMs) on code ranking tasks. It includes data in three scoring formats: pointwise...
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