Measuring Arithmetic Extrapolation Performance. - Andreas Madsen; Alexander Rosenberg Johansen (CoRR, 2019)

Neural Arithmetic Units. - Andreas Madsen; Alexander Rosenberg Johansen (ICLR, 2020)

Evaluating the Faithfulness of Importance Measures in NLP by Recursively Masking Allegedly Important Tokens and Retraining. - Andreas Madsen; Nicholas Meade; Vaibhav Adlakha; Siva Reddy (EMNLP (Findings), 2022)

Post-hoc Interpretability for Neural NLP: A Survey. - Andreas Madsen; Siva Reddy; Sarath Chandar (ACM Comput. Surv., 2023)

Are self-explanations from Large Language Models faithful? - Andreas Madsen; Sarath Chandar; Siva Reddy (ACL (Findings), 2024)

Data Interface for an Interactable Ship Bridge towards Maritime Autonomous Surface Ships at Human-in-the-loop Levels. - Baiheng Wu; Lars Ivar Hatledal; Andreas Madsen; Tongtong Wang; Andreas Brandsæter; Ottar L. Osen (ICHMS, 2024)

Faithfulness Measurable Masked Language Models. - Andreas Madsen; Siva Reddy; Sarath Chandar (ICML, 2024)

Interpretability Needs a New Paradigm. - Andreas Madsen; Himabindu Lakkaraju; Siva Reddy; Sarath Chandar (CoRR, 2024)

New Faithfulness-Centric Interpretability Paradigms for Natural Language Processing. - Andreas Madsen (CoRR, 2024)