A 'Shapley uncertainty' metric for LLM outputs is proposed, but its total equals the differential entropy it was meant to fix, and the claimed properties and performance gains are not supported.
In Proceedings of the 57th Annual Meeting of the Association for Computa- tional Linguistics, pages 6086–6096, Florence, Italy
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Shapley Uncertainty in Natural Language Generation
A 'Shapley uncertainty' metric for LLM outputs is proposed, but its total equals the differential entropy it was meant to fix, and the claimed properties and performance gains are not supported.