| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022 | 999 | 2022 |
| Social bias frames: Reasoning about social and power implications of language M Sap, S Gabriel, L Qin, D Jurafsky, NA Smith, Y Choi arXiv preprint arXiv:1911.03891, 2019 | 450 | 2019 |
| Counterfactual Story Reasoning and Generation L Qin, A Bosselut, A Holtzman, C Bhagavatula, E Clark, Y Choi EMNLP: Empirical Methods in Natural Language Processing, 2019, 2019 | 144 | 2019 |
| Quark: Controllable text generation with reinforced unlearning X Lu, S Welleck, J Hessel, L Jiang, L Qin, P West, P Ammanabrolu, Y Choi Advances in neural information processing systems 35, 27591-27609, 2022 | 143 | 2022 |
| Neurologic a* esque decoding: Constrained text generation with lookahead heuristics X Lu, S Welleck, P West, L Jiang, J Kasai, D Khashabi, RL Bras, L Qin, ... arXiv preprint arXiv:2112.08726, 2021 | 142 | 2021 |
| Maieutic prompting: Logically consistent reasoning with recursive explanations J Jung, L Qin, S Welleck, F Brahman, C Bhagavatula, RL Bras, Y Choi arXiv preprint arXiv:2205.11822, 2022 | 139* | 2022 |
| Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading L Qin, M Galley, C Brockett, X Liu, X Gao, B Dolan, Y Choi, J Gao ACL: Association for Computational Linguistics, 2019,, 2019 | 119 | 2019 |
| Cold decoding: Energy-based constrained text generation with langevin dynamics L Qin, S Welleck, D Khashabi, Y Choi Advances in Neural Information Processing Systems 35, 9538-9551, 2022 | 113 | 2022 |
| Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification L Qin, Z Zhang, H Zhao, Z Hu, EP Xing ACL: Association for Computational Linguistics, 2017, 1006--1017, 2017 | 104 | 2017 |
| Deep generative models with learnable knowledge constraints Z Hu, Z Yang, RR Salakhutdinov, L Qin, X Liang, H Dong, EP Xing NeurIPS / NIPS: Advances in Neural Information Processing Systems, 2018 …, 2018 | 97 | 2018 |
| Back to the future: Unsupervised backprop-based decoding for counterfactual and abductive commonsense reasoning L Qin, V Shwartz, P West, C Bhagavatula, J Hwang, RL Bras, A Bosselut, ... EMNLP: Empirical Methods in Natural Language Processing, 2020, 2020 | 94* | 2020 |
| A stacking gated neural architecture for implicit discourse relation classification L Qin, Z Zhang, H Zhao EMNLP: Empirical Methods in Natural Language Processing, 2016, 2263-2270, 2016 | 77 | 2016 |
| Texar: A modularized, versatile, and extensible toolkit for text generation Z Hu, H Shi, Z Yang, B Tan, T Zhao, J He, W Wang, X Yu, L Qin, D Wang, ... ACL: Association for Computational Linguistics, demo, 2019, 2018 | 66 | 2018 |
| Probabilistic graph-based dependency parsing with convolutional neural network Z Zhang, H Zhao, L Qin ACL: Association for Computational Linguistics, 2016, 1382-1392, 2016 | 64 | 2016 |
| Prompt waywardness: The curious case of discretized interpretation of continuous prompts D Khashabi, S Lyu, S Min, L Qin, K Richardson, S Welleck, H Hajishirzi, ... arXiv preprint arXiv:2112.08348, 2021 | 62* | 2021 |
| TIMEDIAL: Temporal commonsense reasoning in dialog L Qin, A Gupta, S Upadhyay, L He, Y Choi, M Faruqui arXiv preprint arXiv:2106.04571, 2021 | 62 | 2021 |
| Implicit discourse relation recognition with context-aware character-enhanced embeddings L Qin, Z Zhang, H Zhao COLING: International Conference on Computational Linguistics, 2016, 1914-1924, 2016 | 44 | 2016 |
| Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach B Tan, L Qin, EP Xing, Z Hu EMNLP: Empirical Methods in Natural Language Processing, 2020, 2020 | 43 | 2020 |
| TuringAdvice: A generative and dynamic evaluation of language use R Zellers, A Holtzman, E Clark, L Qin, A Farhadi, Y Choi arXiv preprint arXiv:2004.03607, 2020 | 39* | 2020 |
| Shallow discourse parsing using convolutional neural network L Qin, Z Zhang, H Zhao CoNLL: The SIGNLL Conference on Computational Natural Language Learning …, 2016 | 39 | 2016 |
Yejin ChoiUniversity of Washington / Allen Institute for Artificial IntelligenceVerified email at cs.washington.edu
