Under semantic underdetermination, LLMs cannot always guarantee strong correctness, strict non-bias, and high utility at once.
Training language models to follow instructions with human feedback
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A CAP-like Trilemma for Large Language Models: Correctness, Non-bias, and Utility under Semantic Underdetermination
Under semantic underdetermination, LLMs cannot always guarantee strong correctness, strict non-bias, and high utility at once.