Samuel Humeau

Training Millions of Personalized Dialogue Agents

2018

Current dialogue systems fail at being engaging for users, especially when trained end-to-end without relying on proactive reengaging scripted strategies. Zhang et al. (2018) showed that the engagement level of end-to-end dialogue models increases when …

Poly-encoders: Architectures and Pre-training Strategies for Fast and Accurate Multi-sentence Scoring

2020 · International Conference on Learning Representations

The use of deep pre-trained transformers has led to remarkable progress in a number of applications (Devlin et al., 2018). For tasks that make pairwise comparisons between sequences, matching a given input with a corresponding …