Explaining Predictions of Non-Linear Classifiers in NLP. - Leila Arras; Franziska Horn; Grégoire Montavon; Klaus-Robert Müller; Wojciech Samek (Rep4NLP@ACL, 2016)

"What is Relevant in a Text Document?": An Interpretable Machine Learning Approach. - Leila Arras; Franziska Horn; Grégoire Montavon; Klaus-Robert Müller; Wojciech Samek (CoRR, 2016)

Explaining Recurrent Neural Network Predictions in Sentiment Analysis. - Leila Arras; Grégoire Montavon; Klaus-Robert Müller; Wojciech Samek (WASSA@EMNLP, 2017)

Exploring text datasets by visualizing relevant words. - Franziska Horn; Leila Arras; Grégoire Montavon; Klaus-Robert Müller; Wojciech Samek (CoRR, 2017)

Discovering topics in text datasets by visualizing relevant words. - Franziska Horn; Leila Arras; Grégoire Montavon; Klaus-Robert Müller; Wojciech Samek (CoRR, 2017)

Evaluating Recurrent Neural Network Explanations. - Leila Arras; Ahmed Osman; Klaus-Robert Müller; Wojciech Samek (BlackboxNLP@ACL, 2019)

Explaining and Interpreting LSTMs. - Leila Arras; Jose A. Arjona-Medina; Michael Widrich; Grégoire Montavon; Michael Gillhofer; Klaus-Robert Müller; Sepp Hochreiter; Wojciech Samek (CoRR, 2019)

Explaining and Interpreting LSTMs. - Leila Arras; Jose A. Arjona-Medina; Michael Widrich; Grégoire Montavon; Michael Gillhofer; Klaus-Robert Müller; Sepp Hochreiter; Wojciech Samek (Explainable AI, 2019)

Towards Ground Truth Evaluation of Visual Explanations. - Ahmed Osman; Leila Arras; Wojciech Samek (CoRR, 2020)

CLEVR-XAI: A benchmark dataset for the ground truth evaluation of neural network explanations. - Leila Arras; Ahmed Osman; Wojciech Samek (Inf. Fusion, 2022)

A Close Look at Decomposition-based XAI-Methods for Transformer Language Models. - Leila Arras; Bruno Puri; Patrick Kahardipraja; Sebastian Lapuschkin; Wojciech Samek (CoRR, 2025)