I'm Dominik Soós, a PhD student in Computer Science at Old Dominion University.
My dissertation focuses on applying generative AI and machine learning for advancing scientific knowledge production and dissemination.
Dominik Soós, Marc Paterno, John Stenger, Nikos Chrisochoides (2026). “Distributed Quantum-Enhanced Optimization: A Topographical Preconditioning Approach for High-Dimensional Search.” IEEE QCE 2026: IEEE International Conference on Quantum Computing and Engineering, Toronto, Ontario, Canada, September 13-18, 2026. [accepted]
[preprint]
Dominik Soós, Meng Jiang, Jian Wu (2026). “KnowledgeGain: Evaluating and Optimizing Science News Generation for Reader Learning.” EMNLP 2026: The 2026 Conference on Empirical Methods in Natural Language Processing, Budapest, Hungary, October 24-29, 2026. [accepted — oral presentation]
[preprint]
Dominik Soós (2026). “Applications of Generative AI for Advancing Scientific Content Production, Evaluation and Dissemination.” JCDL 2026: ACM/IEEE Joint Conference on Digital Libraries, Dallas, Texas, USA, October 13-16, 2026. [accepted]
Bang Nguyen*, Dominik Soós*, Qian Ma, Rochana R. Obadage, Zack Ranjan, Sai Koneru, Timothy M. Errington, Shakhlo Nematova, Sarah Rajtmajer, Jian Wu, Meng Jiang (2026). “ReplicatorBench: Benchmarking LLM Agents for Replicability in Social and Behavioral Sciences.” Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’26), Jeju, South Korea, August 9-13, 2026, pp. 11693-11704. * co-first authors (equal contribution).
DOI: 10.1145/3770855.3819003.
[link,
preprint]
Dominik Soós, Marc Paterno, Desh Ranjan, Mohammad Zubair (2025). “Zeus: An Efficient GPU Optimization Method Integrating PSO, BFGS, and Automatic Differentiation.” HiPC 2025: IEEE 32nd International Conference on High Performance Computing, Data, and Analytics, Hyderabad, India, December 17-20, 2025.
DOI: 10.1109/HiPC66333.2025.00031.
[preprint]
Sandeep Kalari, Mohan Krishna Sunkara, Dominik Soós, Vikas Ashok, Ravi Mukkamala (2025). “ReViewQwen: An Explainable Vision-Language Model for Discrepancy Detection in Multimodal E-Commerce Reviews.” IEEE CBMI 2025: IEEE International Conference on Content-Based Multimedia Indexing, Dublin, Ireland, October 22-24, 2025.
DOI: 10.1109/CBMI66578.2025.11339346.
[link]
Dominik Soós, Meng Jiang, Jian Wu (2025). “Can LLMs Beat Humans on Discerning Human-written and LLM-generated Science News?” Proceedings of the 36th ACM Conference on Hypertext and Social Media (Hypertext ’25), Chicago, USA, September 15-18, 2025.
DOI: 10.1145/3720553.3746674.
[link,
pdf]
Dominik Soós (2024). “Who Wrote the Scientific News? Improving the Discernibility of LLMs to Human-Written Scientific News.”
Master of Science Thesis, Computer Science, Old Dominion University.
DOI: 10.25777/perk-7b13.
[link]
Michael Evans, Dominik Soós, Ethan Landers, Jian Wu (2023). “MSVEC: A Multidomain Testing Dataset for Scientific Claim Verification.” MobiHoc ’23: Proceedings of the 24th International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Washington, DC, USA, October 23–26, 2023. ACM.
DOI: 10.1145/3565287.3617630.
[link,
pdf]
Jian Wu, Ryan Hiltabrand, Dominik Soós, C. Lee Giles (2022). “Scholarly Big Data Quality Assessment: A Case Study of Document Linking and Conflation with S2ORC.” DocEng ’22: Proceedings of the 22nd ACM Symposium on Document Engineering, 2022. Association for Computing Machinery (ACM).
DOI: 10.1145/3558100.3563850.
[link,
pdf]