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OpenAI官方基准测试:承认Claude遥遥领先(狗头)
量子位· 2025-04-03 02:12
Core Insights - OpenAI's new benchmark test, PaperBench, demonstrates that the Claude-3.5-Sonnet model significantly outperforms its competitors in replicating AI conference papers [2][6] - The evaluation process emphasizes comprehensive capabilities rather than just executing single tasks, contrasting with previous tests [3][11] - AI models showed faster progress than humans in the initial stages of the task, although humans eventually surpassed AI in longer time frames [11][12] Evaluation Process - PaperBench requires AI to replicate 20 selected ICML 2024 papers, creating codebases and executing experiments without using the original authors' code [15][18] - The evaluation consists of three phases, with scoring based on a detailed rubric that includes 8316 individually assessable tasks [19][17] - The scoring process is automated, with AI models being used as judges, proving to be more cost-effective and faster than human experts [22][23] Performance Metrics - Claude-3.5-Sonnet achieved a score that was significantly higher than the second-place model, o1-high, which scored only 60% of Claude's score [6] - The performance of various models was quantified, with GPT-4o also showing notable results against reasoning models [7] - The cost of scoring each paper was $66, which is cheaper than hiring human experts [23] Open Source and Collaboration - OpenAI is gradually open-sourcing the code and data required for the evaluation process on GitHub [25] - The organization collaborated with original authors to establish detailed scoring criteria for the papers [17] Additional Insights - OpenAI's approach to acknowledging competitors' strengths is seen as a positive development in the tech industry [14] - The prompt provided to AI for replicating conference papers emphasizes thoroughness and the use of available tools to optimize solutions [30][36]