CREDENCE: Counterfactual Explanations for Document Ranking. - Joel Rorseth; Parke Godfrey; Lukasz Golab; Mehdi Kargar; Divesh Srivastava; Jaroslaw Szlichta (ICDE, 2023)

On Integrating the Data-Science and Machine-Learning Pipelines for Responsible AI. - Armin Esmaeilzadeh; Joel Rorseth; Andy Yu; Parke Godfrey; Lukasz Golab; Divesh Srivastava; Jaroslaw Szlichta; Kazem Taghva (GUIDE-AI@SIGMOD, 2024)

RAGE Against the Machine: Retrieval-Augmented LLM Explanations. - Joel Rorseth; Parke Godfrey; Lukasz Golab; Divesh Srivastava; Jaroslaw Szlichta (ICDE, 2024)

Towards Explainability in Retrieval-Augmented LLMs. - Joel Rorseth; Parke Godfrey; Lukasz Golab; Divesh Srivastava; Jaroslaw Szlichta (ICDE, 2024)

LADYBUG: an LLM Agent DeBUGger for data-driven applications. - Joel Rorseth; Parke Godfrey; Lukasz Golab; Divesh Srivastava; Jarek Szlichta (EDBT, 2025)

AprèsCoT: Explaining LLM Answers with Knowledge Graphs and Chain of Thought. - Moein Shirdel; Joel Rorseth; Parke Godfrey; Lukasz Golab; Divesh Srivastava; Jarek Szlichta (EDBT, 2025)