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Lianhui Qin
Lianhui Qin
AI2, UCSD CSE
Verified email at ucsd.edu - Homepage
Title
Cited by
Cited by
Year
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
7272022
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
3812019
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
1302019
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
124*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
1172021
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
1122019
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
1082022
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
1022017
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
902018
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
892022
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
79*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
762016
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
732018
Probabilistic graph-based dependency parsing with convolutional neural network
Z Zhang, H Zhao, L Qin
ACL: Association for Computational Linguistics, 2016, 1382-1392, 2016
622016
TIMEDIAL: Temporal commonsense reasoning in dialog
L Qin, A Gupta, S Upadhyay, L He, Y Choi, M Faruqui
arXiv preprint arXiv:2106.04571, 2021
572021
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
45*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
422016
Shallow discourse parsing using convolutional neural network
L Qin, Z Zhang, H Zhao
CoNLL: The SIGNLL Conference on Computational Natural Language Learning …, 2016
392016
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
342020
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
33*2020
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Articles 1–20