[NeurIPS 2024] Quantifying and Optimizing Global Faithfulness in Persona-driven Role-playing

This is a multilingual discriminator for persona-driven role-playing, distilled from GPT-4. It evaluates the relevance between the user's query and a persona statement of the character.

The discriminator is a component of a global role-playing faithfulness optimization framework (as shown below), to use it please visit github.com/KomeijiForce/Active_Passive_Constraint_Koishiday_2024

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Safetensors

Model size

560M params

Tensor type

F32

Inference Examples

Text Classification

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