| PARADE: A new dataset for paraphrase identification requiring computer science domain knowledge Y He, Z Wang, Y Zhang, R Huang, J Caverlee EMNLP 2020, 2020 | 23 | 2020 |
| Fault propagation and effects analysis for designing an online monitoring system for the secondary loop of the nuclear power plant portion of a hybrid energy system X Diao, Y Zhao, M Pietrykowski, Z Wang, S Bragg-Sitton, C Smidts Nuclear Technology 202 (2-3), 106-123, 2018 | 17 | 2018 |
| Predicting the reproducibility of social and behavioral science papers using supervised learning models J Wu, R Nivargi, SST Lanka, AM Menon, SA Modukuri, N Nakshatri, X Wei, ... arXiv preprint arXiv:2104.04580, 2021 | 16 | 2021 |
| Faithful Low-Resource Data-to-Text Generation through Cycle Training Z Wang, M Collins, N Vedula, S Filice, S Malmasi, O Rokhlenko ACL 2023, 2023 | 9 | 2023 |
| Co PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning X Dong, Z Zhu, Z Wang, M Teleki, J Caverlee Findings of the Association for Computational Linguistics: EMNLP 2023, 2023 | 5 | 2023 |
| RES: An Interpretable Replicability Estimation System for Research Publications Z Wang, Q Feng, M Chatterjee, X Zhao, Y Liu, Y Li, AK Singh, ... Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 13230 …, 2022 | 1 | 2022 |
| FANTAstic SEquences and Where to Find Them: Faithful and Efficient API Call Generation through State-tracked Constrained Decoding and Reranking Z Wang, LFR Ribeiro, A Papangelis, R Mukherjee, TY Wang, X Zhao, ... arXiv preprint arXiv:2407.13945, 2024 | | 2024 |
| Unsupervised Candidate Answer Extraction through Differentiable Masker-Reconstructor Model Z Wang, Y Wang, Z Zhu, J Caverlee Findings of the Association for Computational Linguistics: EMNLP 2023, 2023 | | 2023 |
| Howdy Y’all: An Alexa TaskBot M Alfifi, X Dong, T Feldman, A Lin, K Madanagopal, A Pethe, M Teleki, ... | | |
