Cladder: Assessing causal reasoning in language models

Z **, Y Chen, F Leeb, L Gresele, O Kamal… - … conference on neural …, 2023 - openreview.net
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 …

[HTML][HTML] Learning from the COVID-19 pandemic: a systematic review of mathematical vaccine prioritization models

G Gonzalez-Parra, MS Mahmud, C Kadelka - Infectious Disease Modelling, 2024 - Elsevier
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 …

[HTML][HTML] Enhanced numerical techniques for solving generalized rotavirus mathematical model via iterative method and ρ-Laplace transform

RK Pandey, KS Nisar - Partial Differential Equations in Applied Mathematics, 2024 - Elsevier
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 …

[PDF][PDF] Early warning of complex climate risk with integrated artificial intelligence

M Reichstein, V Benson, G Camps-Valls, H Boran… - 2024 - pure.mpg.de
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 …

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 …

[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 …

Learning Joint Interventional Effects from Single-Variable Interventions in Additive Models

A Kekić, SHG Mejia, B Schölkopf - NeurIPS 2024 Causal Representation … - openreview.net
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 …