natural-language-processing-16
Conversational Response Generation
3260 papers • 126 benchmarks • 313 datasets
Given an input conversation, generate a natural-looking text reply to the last conversation element. Image credit: DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation
(Image credit: Open Source)
Benchmarks
These leaderboards are used to track progress in conversational-response-generation-16
Trend
Dataset
Best Model
Actions
No benchmarks available.
Libraries
iUse these libraries to find conversational-response-generation-16 models and implementations
Datasets
No datasets available.