Ass.-Prof. Sebastian Schuster, MSc PhD
1090 Wien
Room : 02.43
Courses
Summer term 2026
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053031 LP Practical Course: Computer Science 2
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500501 SE Doctoral Research Seminar - Data and Knowledge
Winter term 2025
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053021 LP Practical Course: Computer Science 1
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053031 LP Practical Course: Computer Science 2
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059110 VO Introduction to Artificial Intelligence
Publications
Ask or Assume? Uncertainty-Aware Clarification-Seeking in Coding Agents. / Edwards, Nicholas; Schuster, Sebastian.
2026.
Publications: Working paper › Preprint
Diffusion LLMs can think EoS-by-EoS. / Breckner, Sarah; Schuster, Sebastian.
2026.
Publications: Working paper › Preprint
Humans and LLMs Diverge on Probabilistic Inferences. / Kamath, Gaurav; Madathil, Sreenath; Schuster, Sebastian et al.
2026.
Publications: Working paper › Preprint
Do Language Models Track Entities Across State Changes? / Tang, Zilu; Zhao, Qiao; Franco, Gabriel et al.
Forty-Third International Conference on Machine Learning (ICML 2026). 2026.
Publications: Contribution to book › Contribution to proceedings › Peer Reviewed
RExBench: Can coding agents autonomously implement AI research extensions? / Edwards, Nicholas; Lee, Yukyung; Mao, Yujun Audrey et al.
2026. Paper presented at 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026), San Diego, California, United States.
Publications: Contribution to conference › Paper › Peer Reviewed
There is No Spoon: Existential Presupposition in Large Language Models. / Wörgötter, Marie-Léontine; Lai, Shikai; Schuster, Sebastian.
2026.
Publications: Contribution to conference › Paper › Peer Reviewed
RExBench: Can coding agents autonomously implement AI research extensions? / Edwards, Nicholas; Lee, Yukyung; Mao, Yujun Audrey et al.
2025.
Publications: Working paper › Preprint
Semantic-Pragmatic Adaptation to Variable Use of Temporal Expressions. / Cao, Yuxin; Schuster, Sebastian.
2025. Paper presented at 47th Annual Meeting of the Cognitive Science Society, San Francisco, United States.
Publications: Contribution to conference › Paper › Peer Reviewed
Scope Ambiguities in Large Language Models. / Kamath, Gaurav; Schuster, Sebastian; Vajjala, Sowmya et al.
In: Transactions of the Association for Computational Linguistics, Vol. 12, 04.06.2024, p. 738-754.
Publications: Contribution to journal › Article › Peer Reviewed
Code Pretraining Improves Entity Tracking Abilities of Language Models. / Kim, Najoung; Schuster, Sebastian; Toshniwal, Shubham.
2024.
Publications: Working paper › Preprint
Projects
Understanding Language in Context
Schuster, S. (Project Coordinator) & Roth, B. (Project Lead)
1/04/25 → 31/03/33
Project: Research funding
Talks
Entity Tracking in Language Models
Schuster, S. (Speaker)
Activity: Talks and presentations › Talk or oral contribution › Science to Science
Can coding agents autonomously implement NLP research extensions?
Schuster, S. (Speaker)
Activity: Talks and presentations › Talk or oral contribution › Science to Science
Can coding agents autonomously implement NLP research extensions?
Schuster, S. (Speaker)
Activity: Talks and presentations › Talk or oral contribution › Science to Science
How Well do Large Language Models Encode Context-Sensitive Meaning?
Schuster, S. (Speaker)
Activity: Talks and presentations › Talk or oral contribution › Science to Science
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