1 citations · 1 across the 4 of their papers we have counts for
4 papers
Probing Factual Knowledge Transfer with Training Data Interventions
Romina Oji, Marc Braun, Marcel Bollmann +2
Do multilingual language models transfer factual knowledge across languages during continued pretraining, or do they mostly recall facts learned directly from the target-language d…
Sensitivity Analysis to Unobserved Confounding with Copula-based Normalizing Flows
Sourabh Balgi, Marc Braun, Jose M. Peña +1
We propose a novel method for sensitivity analysis to unobserved confounding in causal inference. The method builds on a copula-based causal graphical normalizing flow that we term…
Flow IV: Counterfactual Inference In Nonseparable Outcome Models Using Instrumental Variables
Marc Braun, Jose M. Peña, Adel Daoud
To reach human level intelligence, learning algorithms need to incorporate causal reasoning. But identifying causality, and particularly counterfactual reasoning, remains elusive.…
A Hypothesis-Driven Framework for the Analysis of Self-Rationalising Models
Marc Braun, Jenny Kunz
The self-rationalising capabilities of LLMs are appealing because the generated explanations can give insights into the plausibility of the predictions. However, how faithful the e…