Constantin Ruhdorfer

Constantin Ruhdorfer

Hi, I am a Ph.D. scholar at IMPRS-IS and the HCI-CS group at the University of Stuttgart, Germany.

© 2024. All rights reserved.

Welcome!

Hi, I am a Ph.D. candidate and research associate at the Human Computer Interaction and Cognitive Systems (HCI CS) department under the supervision of Prof. Dr. Andreas Bulling at the University of Stuttgart, Germany and a Ph.D. scholar at the International Max Planck Research School for Intelligent Systems (IMPRS-IS). Next to Andreas Bulling, Prof. Dr. Georg Martius (Max Planck Institute for Intelliegent Systems, University of Tübingen) and Dr. Charley Wu (University of Tübingen) are part of my IMPRS-IS Thesis Advisory Committee. My work aims to improve human-AI cooperation by investigating the intersection of Machine Theory of Mind and Multi-Agent Reinforcement Learning. You can find more about me or my work on the about page, on our groups website, or on google scholar. For students interested in a project or thesis please check the open thesis page.

Publications

  1. 2024: Bortoletto, M., Ruhdorfer, C., Shi, L. & Bulling, A. (2024). Explicit Modelling of Theory of Mind for Belief Prediction in Nonverbal Social Interactions. Proc. European Conference on Artificial Intelligence (ECAI), pp. 1–7, 2024. [website] [arxiv]
  2. 2024: Ruhdorfer, C., Bortoletto, M., Penzkofer, A. & Bulling, A. (2024). The Overcooked Generalisation Challenge. Preprint arXiv:2406.17949. [website] [arxiv]
  3. 2024: Bortoletto, M., Ruhdorfer, C., Shi, L. & Bulling, A. (2024). Benchmarking Mental State Representations in Language Models. ICML Workshop on Mechanistic Interpretability. [paper] [website] [arxiv]
  4. 2024: Bortoletto, M., Ruhdorfer, C., Abdessaied, A., Shi, L. & Bulling, A. (2024). Limits of Theory of Mind Modelling in Dialogue-Based Collaborative Plan Acquisition. Proc. 62nd Annual Meeting of the Association for Computational Linguistics (ACL), pp. 1–16, 2024. [paper] [website] [arxiv]
  5. 2024: Wang, Y., Jiang, Y., Hu, Z., Ruhdorfer, C., Bhâce, M., & Bulling, A. (2024). VisRecall++: Analysing and Predicting Visualisation Recallability from Gaze Bahaviour. Proc. ACM on Human-Computer Interaction (PACM HCI), 1–11. [paper] [website] [acm]
  6. 2020: Ruhdorfer, C., & Schulz, S. (2020). Efficient Implementation of Large-Scale Watchlists. PAAR+SC2 @ International Joint Conference on Automated Reasoning (IJCAR) (pp. 120-133). [paper] [website]

Teaching

For details please refer to here.

Awards

Supervision

I regulary supervise Master and Bachelor theses, see here for a full list and if interested our open projects page. To this day I was or am involved in supervising a total of 3 students in their Master Thesis and a total of 8 students in various group projects offered through some of our lectures.

Other

News

Attended the CoGenAI Summer School

09 Jul 2024

I had a blast attending the ELLIS CoGenAI Summer School last week where I talked about our recent preprint “The Overcooked Generalisation Challenge” available here. For more details you can also see my LinkedIn post

Paper accepted at ECAI

04 Jul 2024

Happy to announce that we have a paper accepted at the European Conference on Artificial Intelligence (ECAI). Our work deals with the modelling of mental states of people in nonverbal social interactions and specifically builds on top of the BOSS and TBD dataset.

Bortoletto, M., Ruhdorfer, C., Shi, L. & Bulling, A. (2024). Explicit Modelling of Theory of Mind for Belief Prediction in Nonverbal Social Interactions Proc. 27th European Conference on Artificial Intelligence (ECAI), pp. 1–8.

Again thanks to my co-authors, especially Matteo!

Paper Accepted at the ICML 2024 Workshop on Mechanistic Interpretability

25 Jun 2024

We have a paper accepted at the Workshop on Mechanistic Interpretability located at ICML this year!

Bortoletto, M., Ruhdorfer, C., Shi, L. & Bulling, A. (2024). Benchmarking Mental State Representations in Language Models. ICML Workshop on Mechanistic Interpretability.

Thanks to my co-authors and especially the first author, Matteo Bortoletto.

Paper Accepted at ACL 2024

16 May 2024

I am very happy to announce that we have a paper accepted at ACL 2024 in the main conference. The paper is titled Limits of Theory of Mind Modelling in Dialogue-Based Collaborative Plan Acquisition and explores a recent issue in Theory of Mind modelling in which deep learning models learn to take shortcuts instead of modeling mental states correctly:

Bortoletto, M., Ruhdorfer, C., Abdessaied, A., Shi, L. & Bulling, A. (2024). Limits of Theory of Mind Modelling in Dialogue-Based Collaborative Plan Acquisition Proc. 62nd Annual Meeting of the Association for Computational Linguistics (ACL), pp. 1–16.

This is a great success and I want to espescially congratulate the first author, Matteo, for his incredible work! Thanks to all my co-authors!

Accepted into the 2024 CoGenAI Ellis Summmer School

01 May 2024

Happy to announce that I will attend the ELLIS summer school on Collaborative and Generative AI (CoGenAI) 2024 at Aalto University in Finland. For details please refer to the official website here.