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Cladder: Assessing causal reasoning in language models
The ability to perform causal reasoning is widely considered a core feature of intelligence. In
this work, we investigate whether large language models (LLMs) can coherently reason …
this work, we investigate whether large language models (LLMs) can coherently reason …
[HTML][HTML] Learning from the COVID-19 pandemic: a systematic review of mathematical vaccine prioritization models
As the world becomes ever more connected, the chance of pandemics increases as well.
The recent COVID-19 pandemic and the concurrent global mass vaccine roll-out provides …
The recent COVID-19 pandemic and the concurrent global mass vaccine roll-out provides …
[HTML][HTML] Enhanced numerical techniques for solving generalized rotavirus mathematical model via iterative method and ρ-Laplace transform
Rotavirus infection is a significant cause of severe diarrhea in infants and young children,
contributing significantly to mortality rates worldwide. This research investigates a time …
contributing significantly to mortality rates worldwide. This research investigates a time …
[PDF][PDF] Early warning of complex climate risk with integrated artificial intelligence
Early warning of complex climate risk with integrated arti cial intelligence Page 1 Early
warning of complex climate risk with integrated arti cial intelligence Markus Reichstein Max …
warning of complex climate risk with integrated arti cial intelligence Markus Reichstein Max …
Causality for Natural Language Processing
Z ** - 2024 - ub01.uni-tuebingen.de
Causal reasoning is a cornerstone of human intelligence and a critical capability for artificial
systems aiming to achieve advanced understanding and decision-making. This thesis …
systems aiming to achieve advanced understanding and decision-making. This thesis …
[PDF][PDF] Infectious Disease Modelling
G González-Parra, MS Mahmud, C Kadelka - scienceopen.com
abstract As the world becomes ever more connected, the chance of pandemics increases as
well. The recent COVID-19 pandemic and the concurrent global mass vaccine roll-out …
well. The recent COVID-19 pandemic and the concurrent global mass vaccine roll-out …
Learning Joint Interventional Effects from Single-Variable Interventions in Additive Models
Estimating joint causal effects is crucial in many domains, but obtaining data from multiple
simultaneous interventions can be challenging. Our study explores how to learn joint …
simultaneous interventions can be challenging. Our study explores how to learn joint …