OpenAI unveiled PaperBench, a brand new benchmark to measure how nicely AI brokers can reproduce cutting-edge AI analysis. This check goals to examine if an AI can perceive analysis papers, write code, and execute them to match the paper’s outcomes.
PaperBench makes use of 20 prime papers from the Worldwide Convention on Machine Studying (ICML) 2024, masking 12 totally different matters. The analysis paper accommodates 8,316 individually gradable duties. Rubric, an goal analysis system, was developed to decompose every process hierarchically into smaller subtasks with clear grading standards. These had been co-developed with the authors of every ICML paper for accuracy and realism.
The AI has to get the small print from the paper and submit all of the code required to breed the paper in a repository. The benchmark wants the AI to additionally create a ‘reproduce.sh’ script to assist execute the code, which may doubtlessly reproduce the outcomes of the paper efficiently.
All of this was determined to be evaluated by an AI decide, which OpenAI claims to be as shut as a human decide. “Our greatest LLM-based decide, which makes use of o3-mini-high with customized scaffolding, achieves an F1 rating of 0.83 on the auxiliary analysis, suggesting that this decide is an inexpensive stand-in for a human decide,” the analysis paper said.
A number of AI fashions had been examined on PaperBench. The very best performing mannequin was Anthropic’s Claude 3.5 Sonnet, which achieved a 21.0% replication rating. Different fashions, together with OpenAI’s o1, GPT-4o, Gemini 2.0 Flash, and DeepSeek-R1, scored decrease.
As compared, human PhDs in machine studying scored 41.4% on common, suggesting that present AI is much from human experience.
A separate check was additionally performed with OpenAI’s o1 for prolonged period, which nonetheless didn’t match the human try.
PaperBench’s code is out there to the general public on GitHub. A light-weight model of the benchmark, PaperBench Code-Dev, can also be obtainable for extra folks to make use of.
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