Sadat Shahriar

Publications

  1. S Shahriar, N Ayoobi, A Mukherjee, M Musharrat, SVV Senagasetty. “Exposing Pink Slime Journalism: Linguistic Signatures and Robust Detection Against LLM-Generated Threats.” Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing (RANLP), 2025.

  2. S Shahriar, N Ayoobi, A Mukherjee. “The Erosion of LLM Signatures: Can We Still Distinguish Human and LLM-Generated Scientific Ideas After Iterative Paraphrasing?” Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing (RANLP), 2025.

  3. N Ayoobi, S Shahriar, A Mukherjee. “Beyond Easy Wins: A Text Hardness-Aware Benchmark for LLM-Generated Text Detection.” arXiv preprint arXiv:2507.15286, 2025.

  4. S Shahriar. “Linguistic Deception Detection — Models, Domains, Behaviors, Stylistic Patterns to Large Language Models (LLMs).” PhD Dissertation, University of Houston, 2025.

  5. S Shahriar, Z Qi, N Pappas, S Doss, M Sunkara, K Halder, M Mager, et al. “Inference Time LLM Alignment in Single and Multidomain Preference Spectrum.” arXiv:2410.19206, 2024.

  6. N Ayoobi, S Shahriar, A Mukherjee. “Seeing Through AI’s Lens: Enhancing Human Skepticism Towards LLM-Generated Fake News.” Proceedings of the 35th ACM Conference on Hypertext and Social Media, 2024.

  7. SR Dipta, S Shahriar. “HU at SemEval-2024 Task 8A: Can Contrastive Learning Learn Embeddings to Detect Machine-Generated Text?” Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval), 2024.

  8. N Ayoobi, S Shahriar, A Mukherjee. “The Looming Threat of Fake and LLM-Generated LinkedIn Profiles: Challenges and Opportunities for Detection and Prevention.” Proceedings of the 34th ACM Conference on Hypertext and Social Media, 2023.

  9. S Shahriar, A Mukherjee, O Gnawali. “Exploring Deceptive Domain Transfer Strategies: Mitigating the Differences Among Deceptive Domains.” Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing (RANLP), 2023.

  10. S Shahriar, A Mukherjee. “Tackling the Myriads of Collusion Scams on YouTube Comments of Cryptocurrency Videos.” Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing (RANLP), 2023.

For a complete list of publications, visit my Google Scholar profile.