About me
I am a final-year PhD student at the Max Planck Institute for Software Systems (MPI-SWS), Germany, advised by Krishna Gummadi. I obtained a Bachelor's degree in Computer Science from Saarland University.
Currently, I am working on understanding how large language models learn, particularly how they memorize information, learn formal grammars, and acquire factual knowledge. Previously, I have worked on topics related to fairness in algorithmic decision-making, and on understanding the properties of representations in deep neural networks.
In my free time, I train for and compete in triathlons 🏊♂️🚴♂️🏃♂️.
You can find more information in my CV.
Research
Understanding Memorisation in LLMs: Dynamics, Influencing Factors, and Implications
Till Speicher, Mohammad Aflah Khan, Qinyuan Wu, Vedant Nanda, Soumi Das, Bishwamittra Ghosh, Krishna P. Gummadi, Evimaria Terzi
Preprint, 2024
PaperTowards Reliable Latent Knowledge Estimation in LLMs: In-Context Learning vs. Prompting Based Factual Knowledge Extraction
Qinyuan Wu, Mohammad Aflah Khan, Soumi Das, Vedant Nanda, Bishwamittra Ghosh, Camila Kolling, Till Speicher, Laurent Bindschaedler, Krishna P. Gummadi, Evimaria Terzi
Preprint, 2024
PaperPointwise Representational Similarity
Camila Kolling, Till Speicher, Vedant Nanda, Mariya Toneva, Krishna P. Gummadi
Preprint, 2023
PaperUnifying Model Explainability and Robustness via Machine-Checkable Concepts
Vedant Nanda, Till Speicher, John P. Dickerson, Krishna P. Gummadi, Muhammad Bilal Zafar
Preprint, 2020
PaperPotential for Discrimination in Online Targeted Advertising
Till Speicher, Muhammad Ali, Giridhari Venkatadri, Filipe Nunes Ribeiro, George Arvanitakis, Fabrício Benevenuto, Krishna P. Gummadi, Patrick Loiseau, Alan Mislove
FAccT 2018
PaperReliable Learning by Subsuming a Trusted Model: Safe Exploration of the Space of Complex Models
Till Speicher, Muhammad Bilal Zafar, Krishna P. Gummadi, Adish Singla, Adrian Weller
Reliable Machine Learning in the Wild - ICML Workshop 2017
Paper