| Classifying relations via long short term memory networks along shortest dependency paths Y Xu, L Mou, G Li, Y Chen, H Peng, Z Jin Proceedings of the 2015 conference on empirical methods in natural language …, 2015 | 753 | 2015 |
| A convolutional attention network for extreme summarization of source code M Allamanis, H Peng, C Sutton International conference on machine learning, 2091-2100, 2016 | 687 | 2016 |
| Random feature attention H Peng, N Pappas, D Yogatama, R Schwartz, NA Smith, L Kong arXiv preprint arXiv:2103.02143, 2021 | 281 | 2021 |
| Contextualized perturbation for textual adversarial attack D Li, Y Zhang, H Peng, L Chen, C Brockett, MT Sun, B Dolan arXiv preprint arXiv:2009.07502, 2020 | 194 | 2020 |
| Complexity-based prompting for multi-step reasoning Y Fu, H Peng, A Sabharwal, P Clark, T Khot The Eleventh International Conference on Learning Representations, 2022 | 193 | 2022 |
| Building program vector representations for deep learning H Peng, L Mou, G Li, Y Liu, L Zhang, Z Jin Knowledge Science, Engineering and Management: 8th International Conference …, 2015 | 162 | 2015 |
| Discriminative neural sentence modeling by tree-based convolution L Mou, H Peng, G Li, Y Xu, L Zhang, Z Jin arXiv preprint arXiv:1504.01106, 2015 | 159 | 2015 |
| Deep encoder, shallow decoder: Reevaluating non-autoregressive machine translation J Kasai, N Pappas, H Peng, J Cross, NA Smith arXiv preprint arXiv:2006.10369, 2020 | 156 | 2020 |
| Deep multitask learning for semantic dependency parsing H Peng, S Thomson, NA Smith arXiv preprint arXiv:1704.06855, 2017 | 149 | 2017 |
| Specializing smaller language models towards multi-step reasoning Y Fu, H Peng, L Ou, A Sabharwal, T Khot International Conference on Machine Learning, 10421-10430, 2023 | 98 | 2023 |
| Classifying relations via long short term memory networks along shortest dependency path X Yan, L Mou, G Li, Y Chen, H Peng, Z Jin arXiv preprint arXiv:1508.03720, 2015 | 72 | 2015 |
| Improving language model negotiation with self-play and in-context learning from ai feedback Y Fu, H Peng, T Khot, M Lapata arXiv preprint arXiv:2305.10142, 2023 | 71 | 2023 |
| Learning joint semantic parsers from disjoint data H Peng, S Thomson, S Swayamdipta, NA Smith arXiv preprint arXiv:1804.05990, 2018 | 68 | 2018 |
| Tailor: Generating and perturbing text with semantic controls A Ross, T Wu, H Peng, ME Peters, M Gardner arXiv preprint arXiv:2107.07150, 2021 | 63 | 2021 |
| Text generation with exemplar-based adaptive decoding H Peng, AP Parikh, M Faruqui, B Dhingra, D Das arXiv preprint arXiv:1904.04428, 2019 | 58 | 2019 |
| Lm-infinite: Simple on-the-fly length generalization for large language models C Han, Q Wang, W Xiong, Y Chen, H Ji, S Wang arXiv preprint arXiv:2308.16137, 2023 | 43 | 2023 |
| Building program vector representations for deep learning L Mou, G Li, Y Liu, H Peng, Z Jin, Y Xu, L Zhang arXiv preprint arXiv:1409.3358, 2014 | 43 | 2014 |
| Backpropagating through structured argmax using a SPIGOT H Peng, S Thomson, NA Smith arXiv preprint arXiv:1805.04658, 2018 | 41 | 2018 |
| 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 | 39 | 2021 |
| Rational recurrences H Peng, R Schwartz, S Thomson, NA Smith arXiv preprint arXiv:1808.09357, 2018 | 39 | 2018 |
