| Fake news detection via NLP is vulnerable to adversarial attacks Z Zhou, H Guan, MM Bhat, J Hsu arXiv preprint arXiv:1901.09657, 2019 | 131 | 2019 |
| Xgen-7b technical report E Nijkamp, T Xie, H Hayashi, B Pang, C Xia, C Xing, J Vig, S Yavuz, ... arXiv preprint arXiv:2309.03450, 2023 | 45* | 2023 |
| How effectively can machines defend against machine-generated fake news? an empirical study MM Bhat, S Parthasarathy Proceedings of the First Workshop on Insights from Negative Results in NLP …, 2020 | 26 | 2020 |
| Self-training with Few-shot Rationalization MM Bhat, A Sordoni, S Mukherjee Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 25* | 2021 |
| Say ‘YES’to positivity: Detecting toxic language in workplace communications MM Bhat, S Hosseini, A Hassan, P Bennett, W Li Findings of the Association for Computational Linguistics: EMNLP 2021, 2017-2029, 2021 | 24 | 2021 |
| Augtriever: Unsupervised dense retrieval by scalable data augmentation R Meng, Y Liu, S Yavuz, D Agarwal, L Tu, N Yu, J Zhang, M Bhat, Y Zhou arXiv preprint arXiv:2212.08841, 2022 | 11* | 2022 |
| Investigating answerability of llms for long-form question answering MM Bhat, R Meng, Y Liu, Y Zhou, S Yavuz arXiv preprint arXiv:2309.08210, 2023 | 8 | 2023 |
| Modeling Uncertainty and Using Post-fusion as Fallback Improves Retrieval Augmented Generation with LLMs Y Liu, S Yavuz, R Meng, M Moorthy, S Joty, C Xiong, Y Zhou arXiv preprint arXiv:2308.12574, 2023 | 5* | 2023 |
| Few-shot Unified Question Answering: Tuning Models or Prompts? S Bansal, S Yavuz, B Pang, M Bhat, Y Zhou arXiv preprint arXiv:2305.14569, 2023 | 2 | 2023 |
| Systems and methods for selecting neural network models for building a custom artificial intelligence stack M Bhat, S Yavuz, R Meng, Y Zhou US Patent App. 18/498,886, 2025 | | 2025 |
| SYSTEMS AND METHODS FOR RETRIEVAL BASED QUESTION ANSWERING USING NEURA NETWORK MODELS Y Liu, S Yavuz, MM Bhat, R Meng, S Joty, C Xiong, Y Zhou US Patent App. 18/497,395, 2024 | | 2024 |
| Study of Effectiveness of Stylometry in Misinformation Detection MM Bhat The Ohio State University, 2022 | | 2022 |
