Abstract: This paper investigates the readability and accessibility of Python code automatically generated by large language models. We evaluate two open-source instruction-tuned models, ...
We evaluate DeepCode on the PaperBench benchmark (released by OpenAI), a rigorous testbed requiring AI agents to independently reproduce 20 ICML 2024 papers from scratch. The benchmark comprises 8,316 ...
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