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DialoGPT is a large-scale pre-trained dialogue response generation model for multi-turn conversations, performing on par with humans in single-turn Turing tests.

DialoGPT is a state-of-the-art large-scale pre-trained multi-turn dialogue response generation model. In the single-turn dialogue Turing test, the quality of its generated responses can be comparable to that of human responses.

This model achieves multi-skill integrated open-domain dialogue capabilities through large-scale neural models and carefully designed training strategies.

DialoGPT is a cutting-edge large-scale pre-trained dialogue response generation model for multi-turn conversations, capable of producing responses in single-turn Turing tests that are comparable to human answers.

This is an open-domain dialogue model based on large-scale neural networks, capable of integrating multiple conversational skills for natural communication.

BlenderBot is an open-domain chatbot model focused on multi-turn dialogue and the integration of various conversational skills.

Cadet-Tiny is an ultra-compact dialogue model trained on the SODA dataset, specifically designed for edge device inference, with a size of only about 2% of the Cosmo-3B model.

This model is a high-performance open-domain chatbot capable of integrating multiple dialogue skills such as questioning, answering, knowledge demonstration, and empathy.

This is an open-domain dialogue system based on large-scale neural networks, capable of conducting multi-turn natural conversations and integrating various dialogue skills.

UniEval is a multi-dimensional evaluation framework for natural language generation tasks, with unieval-dialog being its pre-trained evaluator specifically for dialogue response generation tasks.