GPT-4: ReLM, a system for checking and querying large language models (LLMs) using regular expressions, addresses concerns about data memorization, bias, and unsuitable language. By simplifying complex evaluation methods, ReLM can expand statistical and prompt-tuning coverage up to 15 times compared to ad hoc searches. The system allows users to write logical queries in regular expressions, which are then converted into an executable form in the LLM language, providing a competitive and generalized starting point for LLM validation.
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