Qianli Wang

Qianli Wang

PhD Student

Technische Universität Berlin

Research Interests

post-hoc explanations (counterfactual example, free-text rationale)
interactive conversational XAI systems
mechanistic interpretability
explanation faithfulness
multilinguality
evaluation

About

Hi👋, I'm Qianli Wang and work as a NLP researcher dedicated to advancing the interpretability and explainability of LLMs at XplainNLP group, Quality and Usability Lab, Technische Universität Berlin under the supervision of Prof. Dr.-Ing. Sebastian Möller.

News

2025-11-14: One co-authored paper led by Shengyun on Paper2Figure benchmark 🎨 in submission.

2025-09-27: 📝 One paper about multilingual counterfactual evaluation in collaboration with LMU and Uni Marburg in submission.

2025-09-01: 🌱 Start my research stay in the CopeNLU group led by Prof. Dr. Isabelle Augenstein in Denmark🧜. Thanks for hosting me and providing a nice starting point for our collaborations!

2025-08-21: 💥Delighted to share that (1) Multilingual Datasets for Custom Input Extraction and Explanation Requests Parsing in Conversational XAI Systems accepted at EMNLP 2025 Findings; (2) Truth or Twist? Optimal Model Selection for Reliable Label Flipping Evaluation in LLM-based Counterfactuals accepted at INLG 2025. See you in Hanoi, Vietnam 🇻🇳 and Suzhou, China 🇨🇳! ✈️

2025-05-19: 💫 Three first-authored papers in submission about (1) multilingual explanation request parsing and custom input extraction in ConvXAI; (2) counterfactual validity evaluation for counterfactual data augmentation; (3) how does quantization affect model explainability and interpretability.

2025-05-15: The 4th first-authored paper titled FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation accepted at ACL 2025 Findings. See you in Vienna, Austria 🇦🇹! 🍻

News Archive

Selected Publications

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FitCF: A Framework for Automatic Feature Importance-guided Counterfactual Example Generation

Qianli Wang, Nils Feldhus, Simon Ostermann, Luis Felipe Villa-Arenas, Sebastian Möller, Vera Schmitt

Findings of the Association for Computational Linguistics: ACL

Cross-Refine: Improving Natural Language Explanation Generation by Learning in Tandem

Qianli Wang, Tatiana Anikina, Nils Feldhus, Simon Ostermann, Sebastian Möller, Vera Schmitt

Proceedings of the 31st International Conference on Computational Linguistics

Education Background 👨‍🎓

2024.07-ongoing: Computer Science, Ph.D., Technische Universität Berlin. Supervised by Prof. Dr. Sebastian Möller.

2025.09: Visiting PhD Student, University of Copenhagen. Supervised by Prof. Dr. Isabelle Augenstein.

2021.10-2023.10: Computer Science, M.Sc., Technische Universität Berlin. Supervised by Dr.-Ing. Nils Feldhus and Dr.-Ing. Leonhard Hennig: A Singular LLM is all you need for dialogue-based explanation regarding NLP tasks.

2018.10-2021.09: Computer Science, B.Sc., Freie Universität Berlin. Supervised by Prof. Dr. László Kozma: Understanding and implementation of the algorithm for three-coloring in triangle-free planar graphs.

Jobs 🧑‍💻

2024.07 - ongoing: NLP Researcher @ Quality and Usability Lab, Technische Universität Berlin, Berlin, Germany; funded by VERANDA project.

2024.07 - ongoing: Guest Researcher @ German Research Center for Artificial Intelligence (DFKI) - SLT Group, Berlin, Germany.

2024.01 - 2024.05: Machine Learning Researcher @ Aptiv, Wuppertal, Germany.

2023.01 - 2024.01: Research Assistant @ German Research Center for Artificial Intelligence (DFKI) - SLT Group, Berlin, Germany.