Text Generation aims to produce plausible and readable text in human language from input
data. The resurgence of deep learning has greatly advanced this field, in particular, with the …

Large language models (LLMs) have significantly advanced the field of natural language
processing (NLP), providing a highly useful, task-agnostic foundation for a wide range of …

In this article, we address the problem of answering complex information needs by
conducting conversations with search engines, in the sense that users can express their …

We consider, evaluate, and develop methods for home rehabilitation scenarios. We show
the required modules for this scenario. Due to the large number of modules, the framework …

We introduce AARGH, an end-to-end task-oriented dialog system combining retrieval and
generative approaches in a single model, aiming at improving dialog management and …

Motivational Interviewing is a counselling style that requires skillful usage of reflective
listening and engaging in conversations about sensitive and personal subjects. In this …

Numerous new dialog domains are being created every day while collecting data for these
domains is extremely costly since it involves human interactions. Therefore, it is essential to …

Conversational User Interface (CUI) has become ubiquitous in everyday life, in consumer-
focused products like Siri and Alexa or business-oriented solutions. Deep learning underlies …

In a dialogue system pipeline, a natural language generation (NLG) unit converts the
dialogue direction and content to a corresponding natural language realization. A recent …

Étendre les capacités d'adaptabilité des systèmes à toujours plus de nouveaux domaines
sans données de référence constitue une pierre d'achoppement de taille. Prendre en …