Amir Hossein Kargaran
I’m a Computer Science Ph.D. student at Munich University, advised by Prof. Hinrich Schütze. I’m also affiliated as a junior member with the Munich Center for Machine Learning.
My current research focuses on Multilingual NLP, specifically on scaling NLP technologies to include more languages:
GlotCC: CommonCrawl corpus for more than 1,000 languages.
MEXA: Multilingual Evaluation of English-Centric LLMs via Cross-Lingual Alignment for many langauges.
Before starting my Ph.D., I completed my MSc degree in Computer Engineering at Sharif University of Technology in 2022. I earned two BSc degrees in Electrical Engineering and Computer Engineering from Isfahan University of Technology in 2020. Additionally, I was a research intern with the User Interfaces group at Aalto University during the summers of 2021 and 2022. I contributed to the development of the Aalto Interface Metrics (AIM) project, a service and codebase for computational GUI evaluation.
I am currently looking for a summer internship. If you know of any opportunities or would like to discuss potential collaborations, feel free to reach out!
Publications
Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages
Ayyoob Imani, Peiqin Lin, Amir Hossein Kargaran, Silvia Severini, Masoud Jalili Sabet, Nora Kassner, Chunlan Ma, Helmut Schmid, André F. T. Martins, François Yvon, Hinrich Schütze
Annual Meeting of the Association for Computational Linguistics 2023
On Detecting Hidden Third-Party Web Trackers with a Wide Dependency Chain Graph: A Representation Learning Approach
Amir Hossein Kargaran, Mohammad Sadegh Akhondzadeh, M. R. Heidarpour, M. Manshaei, Kave Salamatian, Masoud Nejad Sattary
arXiv.org 2020
Analytical Derivation and Comparison of Alarm Similarity Analysis Methods
Amir Hossein Kargaran, Amir Neshastegaran, I. Izadi, Ehsan Yazdian
arXiv.org 2020
Hengam: An Adversarially Trained Transformer for Persian Temporal Tagging
Sajad Mirzababaei, Amir Hossein Kargaran, Hinrich Schütze, Ehsaneddin Asgari
AACL 2022