27 citations · 32 across the 8 of their papers we have counts for
8 papers
Perceived System Predictability: Scale Development and Application
Hendrik Schuff, Heike Adel, Ngoc Thang Vu
How predictable users perceive an interactive system to be shapes how they interpret, trust, and rely on it, yet HCI lacks both a precise conceptualization and a validated instrume…
Explaining Pre-Trained Language Models with Attribution Scores: An Analysis in Low-Resource Settings
Wei Zhou, Heike Adel, Hendrik Schuff +1
Attribution scores indicate the importance of different input parts and can, thus, explain model behaviour. Currently, prompt-based models are gaining popularity, i.a., due to thei…
Neighboring Words Affect Human Interpretation of Saliency Explanations
Alon Jacovi, Hendrik Schuff, Heike Adel +2
Word-level saliency explanations ("heat maps over words") are often used to communicate feature-attribution in text-based models. Recent studies found that superficial factors such…
Challenges in Explanation Quality Evaluation
Hendrik Schuff, Heike Adel, Peng Qi +1
While much research focused on producing explanations, it is still unclear how the produced explanations' quality can be evaluated in a meaningful way. Today's predominant approach…
Human Interpretation of Saliency-based Explanation Over Text
Hendrik Schuff, Alon Jacovi, Heike Adel +2
While a lot of research in explainable AI focuses on producing effective explanations, less work is devoted to the question of how people understand and interpret the explanation.…
Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human Ratings
Hendrik Schuff, Hsiu-Yu Yang, Heike Adel +1
Natural language inference (NLI) requires models to learn and apply commonsense knowledge. These reasoning abilities are particularly important for explainable NLI systems that gen…
Thought Flow Nets: From Single Predictions to Trains of Model Thought
Hendrik Schuff, Heike Adel, Ngoc Thang Vu
When humans solve complex problems, they typically create a sequence of ideas (involving an intuitive decision, reflection, error correction, etc.) in order to reach a conclusive d…
F1 is Not Enough! Models and Evaluation Towards User-Centered Explainable Question Answering
Hendrik Schuff, Heike Adel, Ngoc Thang Vu
Explainable question answering systems predict an answer together with an explanation showing why the answer has been selected. The goal is to enable users to assess the correctnes…