UPDF AI

Talking to Machines: do you read me?

L. Rojas-Barahona

2024 · DOI: 10.48550/arXiv.2407.02354
arXiv.org · 0 Citations

TLDR

This dissertation guides the reader to the research on dialogue but more precisely the research I have conducted during my career since my PhD thesis, starting from modular architectures with machine learning/deep learning and reinforcement learning to end-to-end deep neural networks.

Abstract

In this dissertation I would like to guide the reader to the research on dialogue but more precisely the research I have conducted during my career since my PhD thesis. Starting from modular architectures with machine learning/deep learning and reinforcement learning to end-to-end deep neural networks. Besides my work as research associate, I also present the work I have supervised in the last years. I review briefly the state of the art and highlight the open research problems on conversational agents. Afterwards, I present my contribution to Task-Oriented Dialogues (TOD), both as research associate and as the industrial supervisor of CIFRE theses. I discuss conversational QA. Particularly, I present the work of two PhD candidates Thibault Cordier and Sebastien Montella; as well as the work of the young researcher Quentin Brabant. Finally, I present the scientific project, where I discuss about Large Language Models (LLMs) for Task-Oriented Dialogue and Multimodal Task-Oriented Dialogue.