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.
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

  1. Fine-Grained Transfer Learning for Harmful Content Detection through Label-Specific Soft Prompt Tuning
    Faeze Ghorbanpour, Viktor Hangya, and Alexander Fraser
    In NAACL, 2025
  2. Differentiating Emigration from Return Migration of Scholars Using Name-Based Nationality Detection Models
    Faeze Ghorbanpour, Thiago Z. Malaguth, and Aliakbar Akbaritabar
    In ICWSM, 2025
  3. FNR: A Similarity and Transformer-Based Approach to Detect Multi-Modal Fake News in Social Media
    Faeze Ghorbanpour, Maryam Ramezani, Mohammad Amin Fazli, and 1 more author
    Social Network Analysis and Mining, 2023