Alimohammad Beigi

About Me

Hi, I'm Alimohammad! I'm a PhD candidate student in Computer Science at Arizona State University, and I have the privilege to be mentored by Dr. Huan Liu. I work in DMML Lab. Also, I'm a teaching assistant and instructor at Arizona State University.

I hold a bachelor's degree in Mathematics and Applications from University of Tehran and a master's degree in Computer Science at Shahid Beheshti University.

I'm mainly interested in Machine Learning and Data Mining, Social Media Mining, NLP and Causality.

If you have any questions about my work or research/academia/programming-related topics, please feel free to reach out!

Education

PhD in Computer Science

Arizona State University

2022–Current

Data Mining and Machine Learning Lab
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MSc in Computer Science

Shahid Beheshti University

2020–2022

Artificial Intelligence
Machine Learning
Data Mining
Neural Networks

BSc in Mathematics and Applications

University of Tehran

2015–2020

Optimization: Linear and Non-Linear
Algebra and Linear Numeric Algebra

Projects

Data Preprocessing, Gradient Descent Regression, Multiprocessing using Dask and PySpark

Implemented the regression model from scratch in Python, tested on datasets: Airbnb and Rental Houses in Germany, Data Mining, Spring 2021.

Publications

Large language models for data annotation and synthesis: A survey

Z Tan, D Li, S Wang, Alimohammad Beigi, Zhen Tan, Dawei Li, Song Wang, Bohan Jiang, Amrita Bhattacharjee, Mansooreh Karami, Jundong Li, Lu Cheng, Huan Liu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

From generation to judgment: Opportunities and challenges of LLM-as-a-judge

Dawei Li, Bohan Jiang, Liangjie Huang, Alimohammad Beigi, Chengshuai Zhao, Zhen Tan, Amrita Bhattacharjee, Yuxuan Jiang, Canyu Chen, Tianhao Wu, Kai Shu, Lu Cheng, Huan Liu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Model Attribution in LLM-Generated Disinformation: A Domain Generalization Approach with Supervised Contrastive Learning

Alimohammad Beigi, Z Tan, N Mudiam, C Chen, K Shu, H Liu

2024 IEEE 11th International Conference on Data Science and Advanced Analytics (DSAA)

Can LLMs Improve Multimodal Fact-Checking by Asking Relevant Questions?

Alimohammad Beigi, Bohan Jiang, Dawei Li, Zhen Tan, Pouya Shaeri, Tharindu Kumarage, Amrita Bhattacharjee, Huan Liu

arXiv preprint arXiv:2410.04616, 2024

FediverseSharing: A Novel Dataset on Cross-Platform Interaction Dynamics between Threads and Mastodon Users

U Jeong, Alimohammad Beigi, A Tahir, SX Tang, HR Bernard, H Liu

🏆 Best Paper Award: Advances in Social Network Analysis and Mining (ASONAM), 2025

Sentiment and Social Signals in the Climate Crisis: A Survey on Analyzing Social Media Responses to Extreme Weather Events

P Shaeri, Y Mohammadpour, Alimohammad Beigi, A Middel, H Liu

arXiv preprint arXiv:2504.18837, 2025

Tri-Accel: Curvature-Aware Precision-Adaptive and Memory-Elastic Optimization for Efficient GPU Usage

M Sheibanian, P Shaeri, Alimohammad Beigi, RT Woo, A Keluskar

arXiv preprint arXiv:2508.16905, 2025