A generative question yields one answer, and a discriminative question often yields a different one in large language models, causing a disconnect.
Researchers created a consensus game using game theory to enhance the model's self-consistency and reliability, a novel approach in language model research.
The paper on self-consistency in language models is considered pioneering and systematic, introducing a game for the model to improve internal consistency.
The use of game theory to enhance large language models' correctness and internal agreement is seen as an exciting development in language model research.
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