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Large-scale pretraining requires vast amounts of text in a given language, which limits the applicability of such techniques to a handful of high-resource languages. Therefore, researchers have focused on the development of models with a wider cross-lingual applicability, leading to the developme...
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This dissertation collects together five papers which focus primarily on the expressive power, axiomatizations, and proof theory of propositional and modal logics with team semantics. Most of these papers focus on settings in which the empty team property fails—that is, there are formulas which a...
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The concept of computers dates back to the late 19th century. Over the years, significant progress has been made towards their physical realization. Today, we can hardly imagine a world without computers and we use them for a wide range of applications in our daily life. Extensive research effort...
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As Large Language Models have evolved from single-task solvers to general-purpose chat engines, demarcating their capabilities and harms is posing a significant challenge. Systematic investigation of both is needed as the cornerstone to well-informed policy and technological advancement. In this ...
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The area of multimodal learning has seen substantial advances in recent years, both in terms of performance and the variety of tasks tackled. However, many important challenges remain, including integrating external factual knowledge in multimodal models, enabling their fast and efficient adaptat...
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The main focus of this thesis is the design of strategyproof mechanisms.
Part One considers two mechanism design problems without monetary transfers in the learning-augmented framework. Both problems are augmented with a prediction of the optimal solution, and all mechanisms provide error-depe...
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This dissertation studies the interplay between quantum and classical computational resources through the lens of computational complexity theory. It is structured in three parts, each addressing a different aspect of this topic.
Part I considers low-energy states of quantum systems, which pla...
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Neural text generation models are at the basis of most modern-day natural language processing (NLP) systems. In recent years many important innovations to neural network architectures and training paradigms have appeared such as attention mechanisms, Transformers, and pre-training and data augmen...
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Over the past decade, there has been significant progress in the development of physical quantum computational devices. As of this year (2025), we are beginning to see the first implementations of quantum devices with active error correction. Nevertheless, many milestones remain before fully erro...
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This dissertation studies the presuppositions and anaphoric properties of interrogative words. These phenomena both contribute to the semantic and pragmatic effects of questions in a discourse. Presuppositions impose restrictions on the common ground. Interrogative words can raise discourse refer...
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Wikipedia has become a central venue for the public consumption of scientific knowledge. As an open, collaboratively edited encyclopedia, it not only reflects the broader information ecosystem but also shapes how science is accessed, interpreted, and debated by millions of users worldwide. In thi...