[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 NLI relation between the character's response 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

Downloads last month: 24

Safetensors

Model size

560M params

Tensor type

F32

Inference Examples

Text Classification

This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.