Summary
A controlled experiment demonstrated that giving an LLM agent access to a database of over 2 million CS papers during automated hyperparameter search improved results by 3.2%. Using Karpathy's autoresearch framework, a Claude Code agent optimizing a GPT-2 model showed better performance when it could access and synthesize information from research literature. This highlights the benefit of integrating external knowledge bases for AI agents in scientific experimentation.
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