golsun/DialogRPT

EMNLP 2020: "Dialogue Response Ranking Training with Large-Scale Human Feedback Data"

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DialogRPT helps dialogue system designers and chatbot developers create more engaging and human-like conversational AI. It takes a conversation history and a list of potential responses, then predicts which responses are most likely to receive positive human feedback, like upvotes or replies. This allows developers to fine-tune their bots to generate responses that resonate better with users.

345 stars. No commits in the last 6 months.

Use this if you are building or improving a chatbot and want to rank potential responses based on how likely they are to get positive human feedback or appear human-written.

Not ideal if you need to generate conversational responses from scratch, as this tool focuses on ranking existing options rather than creating new ones.

chatbot-development conversational-ai customer-service-automation dialogue-system-design user-engagement
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 16 / 25

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Stars

345

Forks

34

Language

Python

License

MIT

Last pushed

Nov 11, 2024

Commits (30d)

0

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