Hello! My name is Deniz, and I am a final-year PhD candidate in Computer Science advised by Prof. Antoine Bosselut at the NLP lab in EPFL, IC.
Broadly, I am interested in understanding the processes underlying model behavior, how these mechanisms develop during training, and how they ultimately influence model predictions, especially in the context of different languages.
More specifically, I study how LLMs acquire, organize, and use internal representations, and how we can reliably understand these processes. My work on model interpretability has explored how knowledge is localized within model parameters [1], how linguistic representations emerge and evolve throughout pretraining [2], and how the methods we use to probe models shape the conclusions we draw about their internal computation [3]. I also studied observable model behavior in real-world settings through a large-scale collaboration that compiled assessments from 50 EPFL courses [4].
Previously, I worked on grounded language and language-guided robot instruction-following with Prof. Stefanie Tellex (H2R) and Prof. Ellie Pavlick (LUNAR) at Brown CS.
| Semester | Course Code | Name | Professor |
|---|---|---|---|
| Spring 2023, 2024 | CS 552 | Modern Natural Language Processing | Antoine Bosselut |
| Fall 2022, 2023, 2024 | CS 431 | Introduction to Natural Language Processing | Jean-Cédric Chappelier, Martin Rajman, Antoine Bosselut |
| Spring 2021 | CSCI 2952I - CLPS 1850 | Language Processing in Humans and Machines | Ellie Pavlick, Roman Feiman |
| Fall 2019 | CSCI 1410 | Artificial Intelligence | George Konidaris |
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