Sebastian Schuster
Scholar

Sebastian Schuster

Google Scholar ID: DU58eCoAAAAJ
University of Vienna, University College London
Natural Language ProcessingArtificial IntelligenceComputational LinguisticsPragmatics
Citations & Impact
All-time
Citations
4,789
 
H-index
18
 
i10-index
25
 
Publications
20
 
Co-authors
34
list available
Resume (English only)
Academic Achievements
  • June 2025: Preprint on RExBench, an evaluation framework for LLM agents to assess autonomous research extension implementation
  • June 2024: Preprint (with Najoung Kim and Shubham Toshniwal) on the effect of code-pretraining on entity tracking in LLMs
  • June 2024: Paper on scope ambiguities in language models (with Gaurav Kamath, Sowmya Vajjala, Siva Reddy) published in TACL
  • May 2023: Presented work on entity state tracking (with Najoung Kim) at ACL 2023
  • April 2023: Paper on variability in scalar implicature derivations (with Jennifer Hu, Roger Levy, Judith Degen) accepted to TACL
  • Spring 2023: Area Chair for 'Psycholinguistics, cognitive linguistics and semantic processing' track at *SEM2023
  • Spring 2024: Invited talks at ETH Zurich and Oxford
Background
  • Assistant Professor in Natural Language Processing at the University of Vienna
  • Heads a WWTF-funded research group
  • Affiliated with the Linguistics Department at University College London
  • Main research interests: evaluation of large language models, computational semantics and pragmatics
  • Aims to develop more reliable natural language understanding systems and psycholinguistic accounts of pragmatic language use