| Open-domain aspect-opinion co-mining with double-layer span extraction M Chakraborty, A Kulkarni, Q Li Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 8 | 2022 |
| Zero-shot Approach to Overcome Perturbation Sensitivity of Prompts M Chakraborty, A Kulkarni, Q Li In Proceedings of the 61st Annual Meeting of the Association for …, 2023 | 4 | 2023 |
| Does local pruning offer task-specific models to learn effectively? AK Mishra, M Chakraborty Proceedings of the Student Research Workshop Associated with RANLP 2021, 118-125, 2021 | 3 | 2021 |
| Optimal budget allocation for crowdsourcing labels for graphs A Kulkarni, M Chakraborty, S Xie, Q Li Uncertainty in Artificial Intelligence, 1154-1163, 2023 | 2 | 2023 |
| An empirical study on the bugs found while reusing pre-trained natural language processing models R Pan, S Biswas, M Chakraborty, BD Cruz, H Rajan arXiv preprint arXiv:2212.00105, 2022 | 1 | 2022 |
| Does reusing pre-trained NLP model propagate bugs? M Chakraborty Proceedings of the 29th ACM Joint Meeting on European Software Engineering …, 2021 | 1 | 2021 |
| Using Machine Learning for Predicting Aspect-wise Satisfaction Ratings by Semantic Analysis of Text M Chakraborty State University of New York at Buffalo, 2020 | 1 | 2020 |
| An Empirical Study of Using ChatGPT for Fact Verification Task M Chakraborty, A Kulkarni, Q Li arXiv preprint arXiv:2311.06592, 2023 | | 2023 |
| Beryllium: Neural Search for Algorithm Implementations A Kulkarni, M Chakraborty, Y Sium, SC Valluri, W Le, Q Li arXiv preprint arXiv:2305.15690, 2023 | | 2023 |
| [Re] Domain Generalization using Causal Matching R D JILES, M Chakraborty ML Reproducibility Challenge 2021 (Fall Edition), 2022 | | 2022 |
| Reproducibility Summary R Jiles, M Chakraborty | | |
Adithya KulkarniIowa State UniversityVerified email at iastate.edu
