Faeze Ghorbanpour
Machine Learning Researcher
Hi!
I am a PhD student at TUM Munich, supervised by Prof. Alexander Fraser.
I am also a NLP researcher at CIS, LMU Munich and affiliated with MCML.
Currently, my research focuses on Efficient Transfer Learning for Hate Speech Detection, but I am also interested in Efficient Language Models, Low-Resource NLP, Multilingual NLP, Applied NLP, and, last but not least, Computational Social Science.
I know—that’s quite a broad range of topics! 😃 But as an early-career researcher, I am highly motivated to explore different areas of LLMs and NLP and continuously learn.
Feel free to reach out if you’d like to collaborate! 🚀
news
Mar 15, 2025 | 🎉 Our paper “Differentiating Emigration and Return Migration” has been accepted at ICWSM 2025! ✨ This work is from my research visit at MPIDR, Rostock, Germany. |
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Dec 15, 2024 | 🎉 Our paper “Label-Specific Representation and Knowledge Transfer for Harmful Content Detection” has been accepted at NAACL 2025! ✨ |
Oct 27, 2024 | I have moved to the TUM campus in Heilbronn, and after a year and two months as a PhD student at LMU Munich, I am now a PhD student at TUM Munich. |
Oct 05, 2024 | I will be presenting the poster for “Label-Specific Soft Prompt Tuning” at the 2024 All-Hands Meeting of the National AI Centers in Dresden, Germany. |
Aug 15, 2024 | Our research paper on analyzing communication acts during crises will be presented at ASONAM 2024! This work is from my internship at Aalto University, Finaland. |
Sep 01, 2023 | I started my PhD at CIS, LMU Munich under the supervision of Prof. Alex Fraser and Dr. Viktor Hangya, working on NLP, efficient transfer learning, and hate speech detection. |
selected publications
- Fine-Grained Transfer Learning for Harmful Content Detection through Label-Specific Soft Prompt TuningIn NAACL, 2025
- Differentiating Emigration from Return Migration of Scholars Using Name-Based Nationality Detection ModelsIn ICWSM, 2025
- FNR: A Similarity and Transformer-Based Approach to Detect Multi-Modal Fake News in Social MediaSocial Network Analysis and Mining, 2023