Scholar
Tim Z. Xiao
Google Scholar ID: 4I7boHIAAAAJ
University of Tübingen · International Max Planck Research School for Intelligent Systems (IMPRS-IS)
Citations & Impact
Citations
194
H-index
8
i10-index
6
Publications
20
Co-authors
11
list available
Publications
Resume (English only)
Academic Achievements
- Invited to deliver the Scholar Scientific Talk at the IMPRS-IS Interview Symposium in February 2025 on 'Verbalized Machine Learning'.
- Gave an invited lecture on 'Verbalized Machine Learning' at the University of Michigan in November 2024.
- Selected as an August 2024 Grant Winner by G-Research.
- Published multiple high-impact papers, including:
- - 'Large Language Models Are Zero-Shot Problem Solvers—Just Like Modern Computers', Harvard Data Science Review (2025).
- - 'Flipping Against All Odds: Reducing LLM Coin Flip Bias via Verbalized Rejection Sampling', arXiv preprint (2025).
- - 'Verbalized Machine Learning: Revisiting Machine Learning with Language Models', Transactions on Machine Learning Research (TMLR, 2025); presented at ICML 2024 workshops.
- - 'A Note on Generalization in Variational Autoencoders', TMLR (2024).
Education
- PhD: University of Tübingen, Machine Learning, advised by Robert Bamler; visiting PhD student at MPI-IS Tübingen with advisors Weiyang Liu and Bernhard Schölkopf.
- MRes: University College London (UCL), Computational Statistics and Machine Learning, advised by David Barber.
- MSc: University of Oxford, Computer Science, advised by Yarin Gal.
- BSc: University of Manchester, Computer Science.
- Completed a one-year industrial placement at Morgan Stanley during undergraduate studies, developing tools for global cloud platform monitoring and management.
