Maximizing Fair Content Spread via Edge Suggestion in Social Networks. - Ian P. Swift; Sana Ebrahimi; Azade Nova; Abolfazl Asudeh (Proc. VLDB Endow., 2022)

Sampling-Based Techniques for Training Deep Neural Networks with Limited Computational Resources: A Scalability Evaluation. - Sana Ebrahimi; Rishi Advani; Abolfazl Asudeh (CoRR, 2023)

Axolotl: Fairness through Assisted Prompt Rewriting of Large Language Model Outputs. - Sana Ebrahimi; Kaiwen Chen; Abolfazl Asudeh; Gautam Das 001; Nick Koudas (ICKG, 2024)

REQUAL-LM: Reliability and Equity through Aggregation in Large Language Models. - Sana Ebrahimi; Nima Shahbazi; Abolfazl Asudeh (NAACL-HLT (Findings), 2024)

AXOLOTL: Fairness through Assisted Self-Debiasing of Large Language Model Outputs. - Sana Ebrahimi; Kaiwen Chen; Abolfazl Asudeh; Gautam Das 001; Nick Koudas (CoRR, 2024)

Evaluating the Feasibility of Sampling-Based Techniques for Training Multilayer Perceptrons. - Sana Ebrahimi; Rishi Advani; Abolfazl Asudeh (EDBT, 2025)

An Adversary-Resistant Multi-Agent LLM System via Credibility Scoring. - Sana Ebrahimi; Mohsen Dehghankar; Abolfazl Asudeh (CoRR, 2025)