About

Hi, I'm a computer science undergraduate student at Amirkabir University of Technology in Iran. I'm interested in Machine Learning and Natural Language Processing, particularly in Large Language Models, specifically, but not limited to, structured high-quality synthetic data generation by LLMs, improving them using such data, and LLM evaluation.

Education

• Bachelor in Department of Mathematics and Computer Science, Amirkabir University of Technology (Sep. 2022 - June 2025)
• Early graduation in 6 semesters (1 year ahead of standard)
• GPA: 4.0/4.0

Publications

Mohammad Ghiasvand Mohammadkhani "Gap-Filling Prompting Enhances Code-Assisted Mathematical Reasoning" (arXiv preprint arXiv:2411.05407, 2024.)

Mohammad Ghiasvand Mohammadkhani, Ali Ghiasvand Mohammadkhani, Hamid Beigy "Zero-Shot Learn- ing and Key Points Are All You Need for Automated Fact-Checking" (FEVER Workshop at EMNLP 2024)

Mohammad Ghiasvand Mohammadkhani, Niloofar Ranjbar, Saeedeh Momtazi "E2TP: Element to Tuple Prompting Improves Aspect Sentiment Tuple Prediction" (Under Review at Neural Networks Journal)
* Completed in my 3rd undergraduate semester

Research Experience

• Undergraduate RA, Sharif University of Technology (July. 2024 - Aug. 2024)
• Advisor: Hamid Beigy

• Undergraduate RA, Amirkabir University of Technology (Sep. 2023 - Feb. 2024)
• Advisor: Saeedeh Momtazi

• Undergraduate RA, Amirkabir University of Technology (Dec. 2022 - Aug. 2023)
• Advisor: Mohammad Akbari

Industry Experience

• ML/NLP Part-Time Freelancer, Karlancer (Sep. 2024 - Present)
• NLP Intern, Teamyar ERP (June 2024 - July 2024)
• Freelance Web Developer, Self-Employed (July 2022 - Nov. 2023)

Professional Services

• Conference Workshop Reviewer: MATH-AI at NeurIPS 2024, FEVER at EMNLP 2024

Honors

• Granted admission from the Talented Student Office of Amirkabir University of Technology.
• Ranked among the top 0.5% in the Iranian Nationwide University Entrance Exam for the Mathematics and Physics discipline, and admitted to Amirkabir University of Technology as a distinguished student.

Language

• English: (IELTS) 8.0/9.0 (Listening, 8.5 | Reading, 8.0 | Speaking, 7.5 | Writing, 7.0)
• Persian: Native