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The main objective of the present proposal is to advance the state of the art in spiking neural networks (SNNs), in particular for generative models.  It ...

In recent years, attention-based models like Transformers have radically improved the performance of natural language understanding (NLU), demonstrating the ...

Language is what sets humans apart from all other species. Despite much effort, however, its evolutionary origins have remained obscure. At the same time, the ...

This proposal aims to support a visit by Dr. Damien Teney, head of the Machine Learning group at the Idiap Research Institute, to the Australian Institute for ...

All speakers can understand a sentence never heard before, or derive the meaning of a word or a sentence from its parts. Children can learn any language ...

We address the controllability of large language models (LLMs) by giving them interpretable beliefs and programmable knowledge through leveraging the PI's work ...

With the introduction of the transformer architecture Vaswani et al. (2017) and its recent evolution into Large Language Models (LLMs), a number of approaches ...

This project aims to enhance human-robot interaction in healthcare settings by integrating large language models (LLMs) with robotic platforms, ...

The primary aim of this project is to explore the design of computational models of gaze analysis methods to support questions asked in the Tutoring, ...

Artificial Intelligence (AI) has become a powerful and pervasive technology in recent years, influencing numerous aspects of our daily lives. We encounter AI ...