About

I am an experienced machine learning engineer with a background in NLP research. I’m currently building on-prem AI tools at Migros Bank in Zurich, Switzerland.

Before that, I worked on serving LLMs and NMT models at the language service provider Supertext, which emerged from a merger with the machine translation startup Textshuttle that I had joined in early 2024.

I did my graduate studies in computer science at McGill University and the Mila Quebec AI Institute in Montreal. During that time, I did research under the supervision of Jackie C. K. Cheung in collaboration with Microsoft Research on natural language understanding issues such as knowledge representation and common-sense reasoning.

In my undergrad, I studied cognitive science at Osnabrück University in Germany and Chuo University in Japan. In my leisure I enjoy playing Go, reading novels, and spending time in nature.  

Publications

Alex Flückiger, Chantal Amrhein, Tim Graf, Frédéric Odermatt, Martin Pömsl, Philippe Schläpfer, Florian Schottmann, Samuel Läubli (2025). A comparison of translation performance between DeepL and Supertext. Proceedings of Machine Translation Summit XX: Volume 2. Geneva, Switzerland: European Association for Machine Translation. Data & Code.

Akshatha Arodi*, Martin Pömsl*, Kaheer Suleman, Adam Trischler, Alexandra Olteanu, and Jackie Chi Kit Cheung (2023). The KITMUS Test: Evaluating Knowledge Integration from Multiple Sources. Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Toronto, Canada: Association for Computational Linguistics. Nominated for a Best Paper Award. *Equal contribution. Data & Code.

Martin Pömsl and Roman Lyapin (2020). CIRCE at SemEval-2020 Task 1: Ensembling Context-Free and Context-Dependent Word Representations. In Proceedings of the Fourteenth Workshop on Semantic Evaluation. Barcelona (online): International Committee for Computational Linguistics, pp. 180–186. Data & Code.

Theses

Martin Pömsl (2023). Evaluating the Integration of Pretrain-Time and Inference-Time Knowledge in LLM-based NLU Systems. Master Thesis. McGill University.

Martin Pömsl (2021). Extending Neural Temporal Tagging Systems with External Knowledge. Bachelor Thesis. Osnabrück University.