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Hi👋, I’m Qianli Wang and work as a NLP researcher dedicated to advancing the interpretability and explainability of LLMs. My passion lies in unraveling the complexities of these models to make their inner workings more transparent and their outputs more trustworthy.
✨ News
2024-07-12: One co-authored paper - Towards Modeling and Evaluating Instructional Explanations in Teacher-Student Dialogues accepted to ACM GoodIT 2024.
2024-06-12: One new paper in submission: A question answering (resource) paper on the conversational parsing explanation requests (CoXQL).
2024-04-19: LLMCheckup: Conversational Examination of Large Language Models via Interpretability Tools and Self-Explanations accepted to NAACL 2024 HCI+NLP workshop🛕!
2024-02-28: Two new papers in submission: A follow-up to InterroLang on the conversational examination of self-explaining LLMs (LLMCheckup) and a resource and evaluation paper on instructional explanations in teacher-student dialogues (ReWIRED).
2023-10-08: InterroLang: Exploring NLP Models and Datasets through Dialogue-based Explanations accepted to EMNLP 2023 Findings🦁!
🧑🎓 Education Background
2024-ongoing: Computer Science, PhD, Technische Universität Berlin. Supervised by Prof. Dr. Sebastian Möller.
2021-2023: Computer Science, M.Sc., Technische Universität Berlin. Supervised by Nils Feldhus and Dr.-Ing. Leonhard Hennig: A Singular LLM is all you need for dialogue-based explanation regarding NLP tasks.
2018-2021: 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.
2024.02 - ongoing: Guest Researcher @ German Research Center for Artificial Intelligence (DFKI) - SLT Group, Berlin, Germany.
2023.01 - 2024.01: Research Assistant @ German Research Center for Artificial Intelligence (DFKI) - SLT Group, Berlin, Germany.
📑 Publication
2024
Towards Modeling and Evaluating Instructional Explanations in Teacher-Student Dialogues
Nils Feldhus, Aliki Anagnostopoulou, Qianli Wang, Milad Alshomary, Henning Wachsmuth, Daniel Sonntag, and Sebastian Möller
ACM GoodIT 2024
CoXQL: A Dataset for Parsing Explanation Requests in Conversational XAI Systems
Qianli Wang, Tatiana Anikina, Nils Feldhus, Simon Ostermann, and Sebastian Möller
In submission
| arXiv | GitHub |
LLMCheckup: Conversational Examination of Large Language Models via Interpretability Tools and Self-Explanations
Qianli Wang, Tatiana Anikina, Nils Feldhus, Josef van Genabith, Leonhard Hennig, and Sebastian Möller
NAACL 2024 Workshop on Bridging Human-Computer Interaction and Natural Language Processing (HCI+NLP)
| ACL Anthology | arXiv | GitHub |
2023
InterroLang: Exploring NLP Models and Datasets through Dialogue-based Explanations
Nils Feldhus, Qianli Wang, Tatiana Anikina, Sahil Chopra, Cennet Oguz, and Sebastian Möller
EMNLP 2023 Findings
| ACL Anthology | arXiv | GitHub |
🐾 Academic Service
Conference Reviewer
Secondary Reviewer
Interpretability and Analysis Models for NLP track
- EACL 2024
- EMNLP 2023
- ACL 2023
- EACL 2023
Workshop Reviewer
BlackboxNLP @ EMNLP 2023 (secondary)