Policy Learning for Malaria Control. - Van Bach Nguyen; Belaid Mohamed Karim; Bao Long Vu; Jörg Schlötterer; Michael Granitzer (CoRR, 2019)

The Importance of Future Information in Credit Card Fraud Detection. - Van Bach Nguyen; Kanishka Ghosh Dastidar; Michael Granitzer; Wissam Siblini (AISTATS, 2022)

Explaining Machine Learning Models in Natural Conversations: Towards a Conversational XAI Agent. - Van Bach Nguyen; Jörg Schlötterer; Christin Seifert (CoRR, 2022)

Benchmarking eXplainable AI - A Survey on Available Toolkits and Open Challenges. - Phuong Quynh Le; Meike Nauta; Van Bach Nguyen; Shreyasi Pathak; Jörg Schlötterer; Christin Seifert (IJCAI, 2023)

From Black Boxes to Conversations: Incorporating XAI in a Conversational Agent. - Van Bach Nguyen; Jörg Schlötterer; Christin Seifert (xAI (3), 2023)

LLMs for Generating and Evaluating Counterfactuals: A Comprehensive Study. - Van Bach Nguyen; Paul Youssef; Christin Seifert; Jörg Schlötterer (EMNLP (Findings), 2024)

CEval: A Benchmark for Evaluating Counterfactual Text Generation. - Van Bach Nguyen; Christin Seifert; Jörg Schlötterer (INLG, 2024)

XAgent: A Conversational XAI Agent Harnessing the Power of Large Language Models. - Van Bach Nguyen; Jörg Schlötterer; Christin Seifert (xAI (Late-breaking Work, Demos, Doctoral Consortium), 2024)

Guiding LLMs to Generate High-Fidelity and High-Quality Counterfactual Explanations for Text Classification. - Van Bach Nguyen; Christin Seifert; Jörg Schlötterer (CoRR, 2025)

Truth or Twist? Optimal Model Selection for Reliable Label Flipping Evaluation in LLM-based Counterfactuals. - Qianli Wang; Van Bach Nguyen; Nils Feldhus; Luis Felipe Villa-Arenas; Christin Seifert; Sebastian Möller 001; Vera Schmitt (CoRR, 2025)