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2020 – today
- 2022
[c21]Wenhao Yu, Chenguang Zhu, Lianhui Qin, Zhihan Zhang, Tong Zhao, Meng Jiang:
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts. ACL (Findings) 2022: 1896-1906- [c20]Jaehun Jung, Lianhui Qin, Sean Welleck, Faeze Brahman, Chandra Bhagavatula, Ronan Le Bras, Yejin Choi:
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations. EMNLP 2022: 1266-1279 - [c19]Ximing Lu, Sean Welleck, Peter West, Liwei Jiang, Jungo Kasai, Daniel Khashabi, Ronan Le Bras, Lianhui Qin, Youngjae Yu, Rowan Zellers, Noah A. Smith, Yejin Choi:
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics. NAACL-HLT 2022: 780-799 - [c18]Daniel Khashabi, Xinxi Lyu, Sewon Min, Lianhui Qin, Kyle Richardson, Sean Welleck, Hannaneh Hajishirzi, Tushar Khot, Ashish Sabharwal, Sameer Singh, Yejin Choi:
Prompt Waywardness: The Curious Case of Discretized Interpretation of Continuous Prompts. NAACL-HLT 2022: 3631-3643 - [c17]Ximing Lu, Sean Welleck, Jack Hessel, Liwei Jiang, Lianhui Qin, Peter West, Prithviraj Ammanabrolu, Yejin Choi:
QUARK: Controllable Text Generation with Reinforced Unlearning. NeurIPS 2022 - [c16]Lianhui Qin, Sean Welleck, Daniel Khashabi, Yejin Choi:
COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics. NeurIPS 2022 - [i17]Lianhui Qin, Sean Welleck, Daniel Khashabi, Yejin Choi:
COLD Decoding: Energy-based Constrained Text Generation with Langevin Dynamics. CoRR abs/2202.11705 (2022) - [i16]Wenhao Yu, Chenguang Zhu, Lianhui Qin, Zhihan Zhang, Tong Zhao, Meng Jiang:
Diversifying Content Generation for Commonsense Reasoning with Mixture of Knowledge Graph Experts. CoRR abs/2203.07285 (2022) - [i15]Jaehun Jung, Lianhui Qin, Sean Welleck, Faeze Brahman, Chandra Bhagavatula, Ronan Le Bras, Yejin Choi:
Maieutic Prompting: Logically Consistent Reasoning with Recursive Explanations. CoRR abs/2205.11822 (2022) - [i14]Ximing Lu, Sean Welleck, Liwei Jiang, Jack Hessel, Lianhui Qin, Peter West, Prithviraj Ammanabrolu, Yejin Choi:
Quark: Controllable Text Generation with Reinforced Unlearning. CoRR abs/2205.13636 (2022) - 2021
- [c15]Lianhui Qin, Aditya Gupta, Shyam Upadhyay, Luheng He, Yejin Choi, Manaal Faruqui:
TIMEDIAL: Temporal Commonsense Reasoning in Dialog. ACL/IJCNLP (1) 2021: 7066-7076 - [c14]Rowan Zellers, Ari Holtzman, Elizabeth Clark, Lianhui Qin, Ali Farhadi, Yejin Choi:
TuringAdvice: A Generative and Dynamic Evaluation of Language Use. NAACL-HLT 2021: 4856-4880 - [i13]Lianhui Qin, Aditya Gupta, Shyam Upadhyay, Luheng He, Yejin Choi, Manaal Faruqui:
TIMEDIAL: Temporal Commonsense Reasoning in Dialog. CoRR abs/2106.04571 (2021) - [i12]Daniel Khashabi, Shane Lyu, Sewon Min, Lianhui Qin, Kyle Richardson, Sameer Singh, Sean Welleck, Hannaneh Hajishirzi, Tushar Khot, Ashish Sabharwal, Yejin Choi:
PROMPT WAYWARDNESS: The Curious Case of Discretized Interpretation of Continuous Prompts. CoRR abs/2112.08348 (2021) - [i11]Ximing Lu, Sean Welleck, Peter West, Liwei Jiang, Jungo Kasai, Daniel Khashabi, Ronan Le Bras, Lianhui Qin, Youngjae Yu, Rowan Zellers, Noah A. Smith, Yejin Choi:
NeuroLogic A*esque Decoding: Constrained Text Generation with Lookahead Heuristics. CoRR abs/2112.08726 (2021) - 2020
- [c13]Maarten Sap, Saadia Gabriel, Lianhui Qin, Dan Jurafsky, Noah A. Smith, Yejin Choi:
Social Bias Frames: Reasoning about Social and Power Implications of Language. ACL 2020: 5477-5490 - [c12]Lianhui Qin, Vered Shwartz, Peter West, Chandra Bhagavatula, Jena D. Hwang, Ronan Le Bras, Antoine Bosselut
, Yejin Choi:
Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning. EMNLP (1) 2020: 794-805 - [c11]Bowen Tan, Lianhui Qin, Eric P. Xing, Zhiting Hu:
Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach. EMNLP (1) 2020: 6301-6309 - [i10]Rowan Zellers, Ari Holtzman, Elizabeth Clark, Lianhui Qin, Ali Farhadi, Yejin Choi:
Evaluating Machines by their Real-World Language Use. CoRR abs/2004.03607 (2020) - [i9]Lianhui Qin, Vered Shwartz, Peter West, Chandra Bhagavatula, Jena D. Hwang, Ronan Le Bras, Antoine Bosselut, Yejin Choi:
Back to the Future: Unsupervised Backprop-based Decoding for Counterfactual and Abductive Commonsense Reasoning. CoRR abs/2010.05906 (2020) - [i8]Bowen Tan, Lianhui Qin, Eric P. Xing, Zhiting Hu:
Summarizing Text on Any Aspects: A Knowledge-Informed Weakly-Supervised Approach. CoRR abs/2010.06792 (2020)
2010 – 2019
- 2019
- [c10]Zhiting Hu, Haoran Shi, Bowen Tan, Wentao Wang, Zichao Yang, Tiancheng Zhao, Junxian He, Lianhui Qin, Di Wang, Xuezhe Ma, Zhengzhong Liu, Xiaodan Liang, Wanrong Zhu, Devendra Singh Sachan, Eric P. Xing:
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. ACL (3) 2019: 159-164 - [c9]Lianhui Qin, Michel Galley, Chris Brockett, Xiaodong Liu, Xiang Gao, Bill Dolan, Yejin Choi, Jianfeng Gao:
Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading. ACL (1) 2019: 5427-5436 - [c8]Lianhui Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark, Yejin Choi:
Counterfactual Story Reasoning and Generation. EMNLP/IJCNLP (1) 2019: 5042-5052 - [i7]Lianhui Qin, Michel Galley, Chris Brockett, Xiaodong Liu, Xiang Gao, Bill Dolan, Yejin Choi, Jianfeng Gao:
Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading. CoRR abs/1906.02738 (2019) - [i6]Lianhui Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark, Yejin Choi:
Counterfactual Story Reasoning and Generation. CoRR abs/1909.04076 (2019) - [i5]Maarten Sap, Saadia Gabriel, Lianhui Qin, Dan Jurafsky, Noah A. Smith, Yejin Choi:
Social Bias Frames: Reasoning about Social and Power Implications of Language. CoRR abs/1911.03891 (2019) - 2018
- [c7]Lianhui Qin, Lemao Liu, Victoria Bi, Yan Wang, Xiaojiang Liu, Zhiting Hu, Hai Zhao, Shuming Shi:
Automatic Article Commenting: the Task and Dataset. ACL (2) 2018: 151-156 - [c6]Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Lianhui Qin, Xiaodan Liang, Haoye Dong, Eric P. Xing:
Deep Generative Models with Learnable Knowledge Constraints. NeurIPS 2018: 10522-10533 - [i4]Lianhui Qin, Lemao Liu, Victoria Bi, Yan Wang, Xiaojiang Liu, Zhiting Hu, Hai Zhao, Shuming Shi:
Automatic Article Commenting: the Task and Dataset. CoRR abs/1805.03668 (2018) - [i3]Zhiting Hu, Zichao Yang, Ruslan Salakhutdinov, Xiaodan Liang, Lianhui Qin, Haoye Dong, Eric P. Xing:
Deep Generative Models with Learnable Knowledge Constraints. CoRR abs/1806.09764 (2018) - [i2]Zhiting Hu, Haoran Shi, Zichao Yang, Bowen Tan, Tiancheng Zhao, Junxian He, Wentao Wang, Xingjiang Yu, Lianhui Qin, Di Wang, Xuezhe Ma, Zhengzhong Liu, Xiaodan Liang, Wanrong Zhu, Devendra Singh Sachan, Eric P. Xing:
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. CoRR abs/1809.00794 (2018) - 2017
- [c5]Lianhui Qin, Zhisong Zhang, Hai Zhao, Zhiting Hu, Eric P. Xing:
Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification. ACL (1) 2017: 1006-1017 - [i1]Lianhui Qin, Zhisong Zhang, Hai Zhao, Zhiting Hu, Eric P. Xing:
Adversarial Connective-exploiting Networks for Implicit Discourse Relation Classification. CoRR abs/1704.00217 (2017) - 2016
- [c4]Zhisong Zhang, Hai Zhao, Lianhui Qin:
Probabilistic Graph-based Dependency Parsing with Convolutional Neural Network. ACL (1) 2016 - [c3]Lianhui Qin, Zhisong Zhang, Hai Zhao:
Implicit Discourse Relation Recognition with Context-aware Character-enhanced Embeddings. COLING 2016: 1914-1924 - [c2]Lianhui Qin, Zhisong Zhang, Hai Zhao:
Shallow Discourse Parsing Using Convolutional Neural Network. CoNLL Shared Task 2016: 70-77 - [c1]Lianhui Qin, Zhisong Zhang, Hai Zhao:
A Stacking Gated Neural Architecture for Implicit Discourse Relation Classification. EMNLP 2016: 2263-2270
Coauthor Index
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last updated on 2023-06-01 23:17 CEST by the dblp team
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