golsun/DialogRPT
EMNLP 2020: "Dialogue Response Ranking Training with Large-Scale Human Feedback Data"
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.
Stars
345
Forks
34
Language
Python
License
MIT
Category
Last pushed
Nov 11, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/golsun/DialogRPT"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related models
godatadriven/rhyme-with-ai
Rhyme with AI
ArchAIve-Project/Backend
A complex Flask API system empowered by custom ML models, LLMs and processing to facilitate...
flozi00/atra
An open source NLP as a service project focused on providing state of the art systems with ease....
declare-lab/CICERO
The purpose of this repository is to introduce new dialogue-level commonsense inference datasets...
henrikalbihn/gliner-as-a-service
GLiNER model in a FastAPI microservice.