8 papers by CopeNLU authors are accepted to appear at EMNLP 2025, on topics including explainability and cross-cultural NLP.
Graph-Guided Textual Explanation Generation Framework. Shuzhou Yuan, Jingyi Sun, Michael Färber, Steffen Eger, Pepa Atanasova, Isabelle Augenstein.
Self-Critique and Refinement for Faithful Natural Language Explanations. Yingming Wang, Pepa Atanasova.
FLARE: Faithful Logic-Aided Reasoning and Exploration. Erik Arakelyan, Pasquale Minervini, Pat Verga, Patrick Lewis, Isabelle Augenstein.
Explainability and Interpretability of Multilingual Large Language Models: A Survey.
5 papers by CopeNLU authors are accepted to appear at EMNLP 2024, on topics including factuality and probing for bias.
Social Bias Probing: Fairness Benchmarking for Language Models. Marta Marchiori Manerba, Karolina Stańczak, Riccardo Guidotti, Isabelle Augenstein.
Can Transformers Learn n-gram Language Models?. Anej Svete, Nadav Borenstein, Mike Zhou, Isabelle Augenstein, Ryan Cotterell.
DYNAMICQA: Tracing Internal Knowledge Conflicts in Language Models. Sara Vera Marjanović, Haeun Yu, Pepa Atanasova, Maria Maistro, Maria Maistro, Christina Lioma, Isabelle Augenstein.
Detecting social biases such as gender and racial bias, in text as well as in language models