| Gradient-based adversarial training on transformer networks for detecting check-worthy factual claims K Meng, D Jimenez, JD Devasier, SS Naraparaju, F Arslan, D Obembe, ... ACM Transactions on Intelligent Systems and Technology 15 (6), 1-25, 2024 | 18 | 2024 |
| Robust frame-semantic models with lexical unit trees and negative samples J Devasier, Y Gurjar, C Li Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 4 | 2024 |
| Enabling automated fact checking of voting related claims using frame semantic parsing and semantic search R Mediratta, J Devasier, C Li | 2 | 2024 |
| ClaimLens: Automated, Explainable Fact-Checking on Voting Claims Using Frame-Semantics J Devasier, R Mediratta, P Le, D Huang, C Li Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 1 | 2024 |
| Can LLMs Extract Frame-Semantic Arguments? J Devasier, R Mediratta, C Li arXiv preprint arXiv:2502.12516, 2025 | | 2025 |
| Automatic Fact-Checking with Frame-Semantics J Devasier, R Mediratta, A Putta, C Li arXiv preprint arXiv:2501.13288, 2025 | | 2025 |
| Granular Analysis of Social Media Users’ Truthfulness Stances Toward Climate Change Factual Claims H Zhang, Z Zhu, Z Zhang, J Devasier, C Li Proceedings of the 1st Workshop on Natural Language Processing Meets Climate …, 2024 | | 2024 |
