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Explores methods for information extraction, including traditional and embedding-based approaches, supervised learning, distant supervision, and taxonomy induction.
Delves into training and applications of Vision-Language-Action models, emphasizing large language models' role in robotic control and the transfer of web knowledge. Results from experiments and future research directions are highlighted.
Examines urban modal choice evolution, user typologies, and sociological insights in Swiss cities, emphasizing the impact of values, attitudes, and policy measures on mobility.
Emphasizes the importance of incompatibilities to prevent conflicts of interest and maintain democracy, advocating for a constitutional law on the matter.
