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2020 – today
- 2024
[i18]Haonan Wang, James Zou, Michael Mozer, Anirudh Goyal, Alex Lamb, Linjun Zhang, Weijie J. Su, Zhun Deng, Michael Qizhe Xie, Hannah Brown, Kenji Kawaguchi:
Can AI Be as Creative as Humans? CoRR abs/2401.01623 (2024)- 2023
- [c13]Hai Ye, Qizhe Xie, Hwee Tou Ng:
Multi-Source Test-Time Adaptation as Dueling Bandits for Extractive Question Answering. ACL (1) 2023: 9647-9660 - [c12]James Xu Zhao, Yuxi Xie, Kenji Kawaguchi, Junxian He
, Michael Qizhe Xie:
Automatic Model Selection with Large Language Models for Reasoning. EMNLP (Findings) 2023: 758-783 - [c11]Yuxi Xie, Kenji Kawaguchi, Yiran Zhao, James Xu Zhao, Min-Yen Kan, Junxian He, Michael Qizhe Xie:
Self-Evaluation Guided Beam Search for Reasoning. NeurIPS 2023 - [i17]Yuxi Xie, Kenji Kawaguchi, Yiran Zhao, Xu Zhao, Min-Yen Kan, Junxian He, Qizhe Xie:
Decomposition Enhances Reasoning via Self-Evaluation Guided Decoding. CoRR abs/2305.00633 (2023) - [i16]Xu Zhao, Yuxi Xie, Kenji Kawaguchi, Junxian He, Qizhe Xie:
Automatic Model Selection with Large Language Models for Reasoning. CoRR abs/2305.14333 (2023) - [i15]Hai Ye, Qizhe Xie, Hwee Tou Ng:
Multi-Source Test-Time Adaptation as Dueling Bandits for Extractive Question Answering. CoRR abs/2306.06779 (2023) - [i14]Keyu Duan, Qian Liu, Tat-Seng Chua, Shuicheng Yan, Wei Tsang Ooi, Qizhe Xie, Junxian He:
SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning. CoRR abs/2308.02565 (2023) - [i13]Qisheng Hu, Kaixin Li, Xu Zhao, Yuxi Xie, Tiedong Liu, Hui Chen, Qizhe Xie, Junxian He:
InstructCoder: Empowering Language Models for Code Editing. CoRR abs/2310.20329 (2023) - [i12]Xuan Long Do, Yiran Zhao, Hannah Brown, Yuxi Xie, James Xu Zhao, Nancy F. Chen, Kenji Kawaguchi, Michael Qizhe Xie, Junxian He:
Prompt Optimization via Adversarial In-Context Learning. CoRR abs/2312.02614 (2023) - 2021
- [b1]Qizhe Xie:
Towards Data-Efficient Machine Learning. Carnegie Mellon University, USA, 2021 - [c10]Hieu Pham, Zihang Dai, Qizhe Xie, Quoc V. Le:
Meta Pseudo Labels. CVPR 2021: 11557-11568 - 2020
- [j3]Filip Ilievski, Eduard H. Hovy, Piek Vossen, Stefan Schlobach, Qizhe Xie:
The role of knowledge in determining identity of long-tail entities. J. Web Semant. 61-62: 100565 (2020) - [c9]Qizhe Xie, Minh-Thang Luong, Eduard H. Hovy, Quoc V. Le:
Self-Training With Noisy Student Improves ImageNet Classification. CVPR 2020: 10684-10695 - [c8]Qizhe Xie, Zihang Dai, Eduard H. Hovy, Thang Luong, Quoc Le:
Unsupervised Data Augmentation for Consistency Training. NeurIPS 2020 - [i11]Hieu Pham, Qizhe Xie, Zihang Dai, Quoc V. Le:
Meta Pseudo Labels. CoRR abs/2003.10580 (2020)
2010 – 2019
- 2019
- [c7]Xiang Kong, Qizhe Xie, Zihang Dai, Eduard H. Hovy:
Fast and Simple Mixture of Softmaxes with BPE and Hybrid-LightRNN for Language Generation. AAAI 2019: 6626-6633 - [i10]Qizhe Xie, Zihang Dai, Eduard H. Hovy, Minh-Thang Luong, Quoc V. Le:
Unsupervised Data Augmentation. CoRR abs/1904.12848 (2019) - [i9]Qizhe Xie, Eduard H. Hovy, Minh-Thang Luong, Quoc V. Le:
Self-training with Noisy Student improves ImageNet classification. CoRR abs/1911.04252 (2019) - 2018
- [c6]Zihang Dai, Qizhe Xie, Eduard H. Hovy:
From Credit Assignment to Entropy Regularization: Two New Algorithms for Neural Sequence Prediction. ACL (1) 2018: 1672-1682 - [c5]Qizhe Xie, Guokun Lai, Zihang Dai, Eduard H. Hovy:
Large-scale Cloze Test Dataset Created by Teachers. EMNLP 2018: 2344-2356 - [i8]Zihang Dai, Qizhe Xie, Eduard H. Hovy:
From Credit Assignment to Entropy Regularization: Two New Algorithms for Neural Sequence Prediction. CoRR abs/1804.10974 (2018) - [i7]Xiang Kong, Qizhe Xie, Zihang Dai, Eduard H. Hovy:
Fast and Simple Mixture of Softmaxes with BPE and Hybrid-LightRNN for Language Generation. CoRR abs/1809.09296 (2018) - [i6]Filip Ilievski, Eduard H. Hovy, Qizhe Xie, Piek Vossen:
The Profiling Machine: Active Generalization over Knowledge. CoRR abs/1810.00782 (2018) - 2017
- [c4]Qizhe Xie, Xuezhe Ma, Zihang Dai, Eduard H. Hovy:
An Interpretable Knowledge Transfer Model for Knowledge Base Completion. ACL (1) 2017: 950-962 - [c3]Guokun Lai, Qizhe Xie, Hanxiao Liu, Yiming Yang, Eduard H. Hovy:
RACE: Large-scale ReAding Comprehension Dataset From Examinations. EMNLP 2017: 785-794 - [c2]Qizhe Xie, Zihang Dai, Yulun Du, Eduard H. Hovy, Graham Neubig:
Controllable Invariance through Adversarial Feature Learning. NIPS 2017: 585-596 - [i5]Guokun Lai, Qizhe Xie, Hanxiao Liu, Yiming Yang, Eduard H. Hovy:
RACE: Large-scale ReAding Comprehension Dataset From Examinations. CoRR abs/1704.04683 (2017) - [i4]Qizhe Xie, Xuezhe Ma, Zihang Dai, Eduard H. Hovy:
An Interpretable Knowledge Transfer Model for Knowledge Base Completion. CoRR abs/1704.05908 (2017) - [i3]Qizhe Xie, Zihang Dai, Yulun Du, Eduard H. Hovy, Graham Neubig:
Controllable Invariance through Adversarial Feature Learning. CoRR abs/1705.11122 (2017) - [i2]Qizhe Xie, Guokun Lai, Zihang Dai, Eduard H. Hovy:
Large-scale Cloze Test Dataset Designed by Teachers. CoRR abs/1711.03225 (2017) - 2016
- [j2]Kai Sun, Qizhe Xie, Kai Yu:
Recurrent Polynomial Network for Dialogue State Tracking. Dialogue Discourse 7(3): 65-88 (2016) - [j1]Kai Yu, Lu Chen, Kai Sun, Qizhe Xie, Su Zhu:
Evolvable dialogue state tracking for statistical dialogue management. Frontiers Comput. Sci. 10(2): 201-215 (2016) - 2015
- [c1]Qizhe Xie, Kai Sun, Su Zhu, Lu Chen, Kai Yu:
Recurrent Polynomial Network for Dialogue State Tracking with Mismatched Semantic Parsers. SIGDIAL Conference 2015: 295-304 - [i1]Kai Sun, Qizhe Xie, Kai Yu:
Recurrent Polynomial Network for Dialogue State Tracking. CoRR abs/1507.03934 (2015)
Coauthor Index
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