| Learning from the wisdom of crowds by minimax entropy D Zhou, J Platt, S Basu, Y Mao Advances in Neural Information Processing Systems 25, 2204-2212, 2012 | 429 | 2012 |
| Isotonic conditional random fields and local sentiment flow Y Mao, G Lebanon Advances in neural information processing systems, 961-968, 2006 | 172 | 2006 |
| Non-parametric modeling of partially ranked data G Lebanon, Y Mao Journal of Machine Learning Research 9, 2401-2429, 2008 | 149 | 2008 |
| X-SQL: reinforce schema representation with context P He, Y Mao, K Chakrabarti, W Chen arXiv preprint arXiv:1908.08113, 2019 | 104 | 2019 |
| Robust text-to-sql generation with execution-guided decoding C Wang, K Tatwawadi, M Brockschmidt, PS Huang, Y Mao, O Polozov, ... arXiv preprint arXiv:1807.03100, 2018 | 103 | 2018 |
| The locally weighted bag of words framework for document representation G Lebanon, Y Mao, J Dillon Journal of Machine Learning Research 8 (10), 2405-2441, 2007 | 97 | 2007 |
| Action-dependent control variates for policy optimization via stein identity H Liu, Y Feng, Y Mao, D Zhou, J Peng, Q Liu | 95 | 2018 |
| A Token-level Reference-free Hallucination Detection Benchmark for Free-form Text Generation T Liu, Y Zhang, C Brockett, Y Mao, Z Sui, W Chen, B Dolan arXiv preprint arXiv:2104.08704, 2021 | 90 | 2021 |
| Explanations from Large Language Models Make Small Reasoners Better S Li, J Chen, Y Shen, Z Chen, X Zhang, Z Li, H Wang, J Qian, B Peng, ... arXiv preprint arXiv:2210.06726, 2022 | 81 | 2022 |
| Repocoder: Repository-level code completion through iterative retrieval and generation F Zhang, B Chen, Y Zhang, J Liu, D Zan, Y Mao, JG Lou, W Chen arXiv preprint arXiv:2303.12570, 2023 | 78 | 2023 |
| Incsql: Training incremental text-to-sql parsers with non-deterministic oracles T Shi, K Tatwawadi, K Chakrabarti, Y Mao, O Polozov, W Chen arXiv preprint arXiv:1809.05054, 2018 | 69 | 2018 |
| Exploiting Structured Knowledge in Text via Graph-Guided Representation Learning T Shen, Y Mao, P He, G Long, A Trischler, W Chen arXiv preprint arXiv:2004.14224, 2020 | 62 | 2020 |
| Sequential document visualization Y Mao, J Dillon, G Lebanon IEEE transactions on visualization and computer graphics 13 (6), 1208-1215, 2007 | 54 | 2007 |
| Finetuning Pretrained Transformers into RNNs J Kasai, H Peng, Y Zhang, D Yogatama, G Ilharco, N Pappas, Y Mao, ... arXiv preprint arXiv:2103.13076, 2021 | 48 | 2021 |
| Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representation Y Li, B Peng, Y Shen, Y Mao, L Liden, Z Yu, J Gao arXiv preprint arXiv:2112.07924, 2021 | 45 | 2021 |
| OmniTab: Pretraining with Natural and Synthetic Data for Few-shot Table-based Question Answering Z Jiang, Y Mao, P He, G Neubig, W Chen arXiv preprint arXiv:2207.03637, 2022 | 44 | 2022 |
| Dimensionality reduction for text using domain knowledge Y Mao, K Balasubramanian, G Lebanon Proceedings of the 23rd International Conference on Computational …, 2010 | 28 | 2010 |
| Statistical translation, heat kernels, and expected distances J Dillon, Y Mao, G Lebanon, J Zhang Uncertainty in Artificial Intelligence, 93-100, 2007 | 26* | 2007 |
| Sequential models for sentiment prediction Y Mao, G Lebanon ICML Workshop on Learning in Structured Output Spaces, 2006 | 25 | 2006 |
| Generalized isotonic conditional random fields Y Mao, G Lebanon Machine learning 77 (2-3), 225-248, 2009 | 18 | 2009 |
