Alimohammad Beigi

According to our database, Alimohammad Beigi authored at least 15 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

CAMO: Causality-Guided Adversarial Multimodal DOmain Generalization for Crisis Classification.

Pingchuan Ma, Chengshuai Zhao, Bohan Jiang, Saketh Vishnubhatla, Ujun Jeong, Alimohammad Beigi, Adrienne Raglin, Huan Liu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2026

2025

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

Mohsen Sheibanian, Pouya Shaeri, Alimohammad Beigi, Ryan T. Woo, Aryan Keluskar

CoRR, August, 2025

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

Pouya Shaeri, Yasaman Mohammadpour, Alimohammad Beigi, Ariane Middel, Huan Liu

CoRR, April, 2025

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

Ujun Jeong, Alimohammad Beigi, Anique Tahir, Susan Xu Tang, H. Russell Bernard, Huan Liu

CoRR, February, 2025

Can Typos Cause Harm? The Impact of Imperfect Input on LLM Safety.

Saurabh Bhausaheb Zinjad, Amrita Bhattacharjee, Alimohammad Beigi, Huan Liu

Proceedings of the Social, Cultural, and Behavioral Modeling, 2025

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

Pouya Shaeri, Yasaman Mohammadpour, Alimohammad Beigi, Ariane Middel

Proceedings of the Social, Cultural, and Behavioral Modeling, 2025

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

An Interventional Approach to Real-Time Disaster Assessment via Causal Attribution.

Saketh Vishnubhatla, Alimohammad Beigi, Rui Heng Foo, Umang Goel, Ujun Jeong, Bohan Jiang, Adrienne Raglin, Huan Liu

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

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

Proceedings of the IEEE International Conference on Big Data, 2025

Fediverse Sharing: Cross-Platform Interaction Dynamics Between Threads and Mastodon Users.

Ujun Jeong, Alimohammad Beigi, Anique Tahir, Susan Xu Tang, H. Russell Bernard, Huan Liu

Proceedings of the Social Networks Analysis and Mining - 17th International Conference, 2025

2024

LRQ-Fact: LLM-Generated Relevant Questions for Multimodal Fact-Checking.

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

CoRR, 2024

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

Alimohammad Beigi, Zhen Tan, Nivedh Mudiam, Canyu Chen, Kai Shu, Huan Liu

CoRR, 2024

Large Language Models for Data Annotation: A Survey.

Zhen Tan, Alimohammad Beigi, Song Wang, Ruocheng Guo, Amrita Bhattacharjee, Bohan Jiang, Mansooreh Karami, Jundong Li, Lu Cheng, Huan Liu

CoRR, 2024

Large Language Models for Data Annotation and Synthesis: A Survey.

Zhen Tan, Dawei Li, Song Wang, Alimohammad Beigi, 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

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

Alimohammad Beigi, Zhen Tan, Nivedh Mudiam, Canyu Chen, Kai Shu, Huan Liu

Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024