9 citations · 13 across the 3 of their papers we have counts for
3 papers · 1 filter
A Short Study on Compressing Decoder-Based Language Models
Tianda Li, Yassir El Mesbahi, Ivan Kobyzev +6
Pre-trained Language Models (PLMs) have been successful for a wide range of natural language processing (NLP) tasks. The state-of-the-art of PLMs, however, are extremely large to b…
Generating Emotionally Aligned Responses in Dialogues using Affect Control Theory
Nabiha Asghar, Ivan Kobyzev, Jesse Hoey +2
State-of-the-art neural dialogue systems excel at syntactic and semantic modelling of language, but often have a hard time establishing emotional alignment with the human interacta…
Polarized-VAE: Proximity Based Disentangled Representation Learning for Text Generation
Vikash Balasubramanian, Ivan Kobyzev, Hareesh Bahuleyan +2
Learning disentangled representations of real-world data is a challenging open problem. Most previous methods have focused on either supervised approaches which use attribute label…