Alireza Ziabari

Alireza Ziabari

NLP at USC

Helloo

My name is Alireza Ziabari. I am a third year CS Ph.D. student at University of Southern California, advised by Morteza Dehghani. Previously, I got my B.S. in Computer Engineering from Sharif University of Technology, where I worked with Mohammad Hossein Rohban.

Currently, I am interested in enhancing NLP systems to have learning capabilities comparable to those of humans. This involves delving into innovative methods of adaptation through continual learning and learning from feedback via reinforcement learning.

Publications

  1. Reinforced Multiple Instance Selection for Speaker Attribute Prediction Alireza S. Ziabari, Ali Omrani, Parsa Hejabi, Preni Golazizian, Payam Piray, Morteza Dehghani. NAACL 2024.
  2. Towards a Unified Framework for Adaptable Problematic Content Detection via Continual Learning Ali Omrani*, Alireza S. Ziabari*, Preni Golazizian, Jeffery Sorensen, Morteza Dehghani. WOAH at NAACL 2024.
  3. Social-group-agnostic bias mitigation via the stereotype content model Ali Omrani, Alireza S. Ziabari, Charles Yu, Preni Golazizian, Brendan Kennedy, Mohammad Atari, Heng Ji, Morteza Dehghani. ACL2023.
  4. The Moral Foundations Reddit Corpus Jackson Trager*, Alireza S. Ziabari*, Aida Mostafazadeh Davani, Preni Golazizian, Farzan Karimi-Malekabadi, Ali Omrani, Zhihe Li, Brendan Kennedy, Nils Karl Reimer, Melissa Reyes, Kelsey Cheng, Mellow Wei, Christina Merrifield, Arta Khosravi, Evans Alvarez, and Morteza Dehghani. Preprint.
  5. Cost-Efficient Subjective Task Annotation and Modeling through Few-Shot Annotator Adaptation Preni Golazizian, Alireza S. Ziabari, Ali Omrani, and Morteza Dehghani. Preprint.
  6. Secret Keepers: The Impact of LLMs on Linguistic Markers of Personal Traits Zhivar Sourati, Meltem Ozcan, Colin McDanie, Alireza S. Ziabari, Nuan Wen, Ala Tak, Fred Morstatter, and Morteza Dehghani. Preprint.
  7. Evaluating Large Language Models in Psychological Research: A Guide for Reviewers Suhaib Abdurahman, Alireza S. Ziabari, Alexander Moore, Daniel Bartels, and Morteza Dehghani. Preprint.
  8. What Doesn’t Kill Us: Harsh Ecologies Beget Difficulty-as-Improvement Norms Farzan Karimi-Malekabadi, Daphna Oyserman, Alireza S. Ziabari, Ali Omrani.

Work Experiences

Tapsi, Machine Learning Enigneer. Oct 2020 - May 2021

Fanap, Machine Learning Intern. Jul 2020 - Oct 2020

Miscellaneous

Soccer and Rock Climbing!