The Few-Shot Bot: Prompt-Based Learning for Dialogue Systems
This repository includes the dataset, experiments results, and code for the paper:
Few-Shot Bot: Prompt-Based Learning for Dialogue Systems PDF.
Authors: Andrea Madotto, Zhaojiang Lin, Genta Indra Winata, Pascale Fung
Abstract
Learning to converse using only a few examples is a grand challenge in Conversational AI. The current best conversational models, which are either good chit-chatters (e.g., BlenderBot) or goal-oriented systems (e.g., MinTL), are language models (LMs) fine-tuned on large conversational datasets. Training these models is expensive, both in terms of computational resources and time, and it is hard to keep these models up to date with new conversational skills. A simple yet unexplored solution is prompt-based few-shot learning (Brown et al. 2020) which does not