2 citations · 4 across the 7 of their papers we have counts for
3 papers · 1 filter
Explanation format does not matter; but explanations do -- An Eggsbert study on explaining Bayesian Optimisation tasks
Tanmay Chakraborty, Marion Koelle, Jörg Schlötterer +3
Bayesian Optimisation (BO) is a family of methods for finding optimal parameters when the underlying function to be optimised is unknown. BO is used, for example, for hyperparamete…
An XAI-based Analysis of Shortcut Learning in Neural Networks
Phuong Quynh Le, Jörg Schlötterer, Christin Seifert
Machine learning models tend to learn spurious features - features that strongly correlate with target labels but are not causal. Existing approaches to mitigate models' dependence…
Behavioral Analysis of Information Salience in Large Language Models
Jan Trienes, Jörg Schlötterer, Junyi Jessy Li +1
Large Language Models (LLMs) excel at text summarization, a task that requires models to select content based on its importance. However, the exact notion of salience that LLMs hav…