I am a Ph.D. student in Computer Science at the University of Massachusetts Lowell, where I work in the Computational Language Understanding (CLU) Lab advised by Professor Hadi Amiri. Previously, I received my BS in Computer Science from KAIST.

My research aims to develop reliable and efficient NLP systems through understanding of model behavior:

• Controlled Generation: I develop techniques that enable precise steering of language model outputs.
• Curriculum Learning: I investigate data selection and ordering strategies to advance how we train large language models, aiming to enable next-generation models at a fraction of the current computational cost.
• Interpretability: I analyze model behavior to understand how models learn and steer their outputs.

Selected Publications

Full publication list →

• Linguistically-Controlled Paraphrase Generation Mohamed Elgaar, Hadi Amiri
  Findings of EMNLP 2025 [PDF]

• MedDec: A Dataset for Extracting Medical Decisions from Clinical Narratives
  Mohamed Elgaar, Jiali Cheng, Nidhi Vakil, Hadi Amiri, Leo Anthony Celi
  Findings of ACL 2024 [PDF] [Code]

• Ling-CL: Multiview Curriculum Learning using Linguistic Complexity
  Mohamed Elgaar, Hadi Amiri
  EMNLP 2023 [PDF] [Code]

• HuCurl: Human-induced Curriculum Discovery
  Mohamed Elgaar, Hadi Amiri
  ACL 2023 [PDF] [Code]

News

• [Nov 2025] Linguistically-Controlled Paraphrase Generation presented at EMNLP 2025.
• [July 2025] MedDecXtract presented at ACL 2025 Demo Track.
• [May 2025] I will be joining Google DeepMind as a Research Intern.
• [June 2024] Papers accepted to Findings of ACL and INTERSPEECH 2024
• [Dec 2023] Presented Ling-CL at EMNLP 2023
• [July 2023] Presented HuCurl at ACL’23 in Toronto