declare-lab/exemplary-empathy
This repository contains the source codes of the paper -- Exemplars-guided Empathetic Response Generation Controlled by the Elements of Human Communication
This project helps researchers and developers create AI models that can generate more empathetic and contextually appropriate responses in conversations. By inputting conversation data, it helps train models that output text responses that reflect empathy, expressiveness, and intent, making AI interactions feel more human-like. It's designed for researchers focusing on natural language generation and conversational AI.
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Use this if you are a researcher or developer aiming to build or improve conversational AI systems to generate responses that are not just coherent but also empathetic and aligned with human communication nuances.
Not ideal if you are looking for an out-of-the-box empathetic chatbot solution for end-users, as this project provides the underlying research code for model training rather than a deployable application.
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Python
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MIT
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Last pushed
Feb 01, 2023
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