Recurrent Polynomial Network for Dialogue State Tracking with Mismatched Semantic Parsers. - Qizhe Xie; Kai Sun; Su Zhu; Lu Chen 002; Kai Yu 004 (SIGDIAL Conference, 2015)

Recurrent Polynomial Network for Dialogue State Tracking. - Kai Sun; Qizhe Xie; Kai Yu 004 (Dialogue Discourse, 2016)

Evolvable dialogue state tracking for statistical dialogue management. - Kai Yu 004; Lu Chen 002; Kai Sun; Qizhe Xie; Su Zhu (Frontiers Comput. Sci., 2016)

An Interpretable Knowledge Transfer Model for Knowledge Base Completion. - Qizhe Xie; Xuezhe Ma; Zihang Dai; Eduard H. Hovy (ACL (1), 2017)

RACE: Large-scale ReAding Comprehension Dataset From Examinations. - Guokun Lai; Qizhe Xie; Hanxiao Liu; Yiming Yang; Eduard H. Hovy (EMNLP, 2017)

Controllable Invariance through Adversarial Feature Learning. - Qizhe Xie; Zihang Dai; Yulun Du; Eduard H. Hovy; Graham Neubig (NIPS, 2017)

Large-scale Cloze Test Dataset Designed by Teachers. - Qizhe Xie; Guokun Lai; Zihang Dai; Eduard H. Hovy (CoRR, 2017)

From Credit Assignment to Entropy Regularization: Two New Algorithms for Neural Sequence Prediction. - Zihang Dai; Qizhe Xie; Eduard H. Hovy (ACL (1), 2018)

Large-scale Cloze Test Dataset Created by Teachers. - Qizhe Xie; Guokun Lai; Zihang Dai; Eduard H. Hovy (EMNLP, 2018)

The Profiling Machine: Active Generalization over Knowledge. - Filip Ilievski; Eduard H. Hovy; Qizhe Xie; Piek Vossen (CoRR, 2018)

Fast and Simple Mixture of Softmaxes with BPE and Hybrid-LightRNN for Language Generation. - Xiang Kong; Qizhe Xie; Zihang Dai; Eduard H. Hovy (AAAI, 2019)

Unsupervised Data Augmentation. - Qizhe Xie; Zihang Dai; Eduard H. Hovy; Minh-Thang Luong; Quoc V. Le (CoRR, 2019)

Self-Training With Noisy Student Improves ImageNet Classification. - Qizhe Xie; Minh-Thang Luong; Eduard H. Hovy; Quoc V. Le (CVPR, 2020)

Unsupervised Data Augmentation for Consistency Training. - Qizhe Xie; Zihang Dai; Eduard H. Hovy; Thang Luong; Quoc Le 001 (NeurIPS, 2020)

The role of knowledge in determining identity of long-tail entities. - Filip Ilievski; Eduard H. Hovy; Piek Vossen; Stefan Schlobach; Qizhe Xie (J. Web Semant., 2020)

Meta Pseudo Labels. - Hieu Pham 001; Zihang Dai; Qizhe Xie; Quoc V. Le (CVPR, 2021)

Towards Data-Efficient Machine Learning. - Qizhe Xie (2021)

Multi-Source Test-Time Adaptation as Dueling Bandits for Extractive Question Answering. - Hai Ye; Qizhe Xie; Hwee Tou Ng (ACL (1), 2023)

Automatic Model Selection with Large Language Models for Reasoning. - James Xu Zhao; Yuxi Xie; Kenji Kawaguchi; Junxian He; Michael Qizhe Xie (EMNLP (Findings), 2023)

Self-Evaluation Guided Beam Search for Reasoning. - Yuxi Xie; Kenji Kawaguchi; Yiran Zhao 006; James Xu Zhao; Min-Yen Kan; Junxian He; Michael Qizhe Xie (NeurIPS, 2023)

Decomposition Enhances Reasoning via Self-Evaluation Guided Decoding. - Yuxi Xie; Kenji Kawaguchi; Yiran Zhao 006; Xu Zhao; Min-Yen Kan; Junxian He; Qizhe Xie (CoRR, 2023)

Automatic Model Selection with Large Language Models for Reasoning. - Xu Zhao; Yuxi Xie; Kenji Kawaguchi; Junxian He; Qizhe Xie (CoRR, 2023)

SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning. - Keyu Duan; Qian Liu 012; Tat-Seng Chua; Shuicheng Yan; Wei Tsang Ooi; Qizhe Xie; Junxian He (CoRR, 2023)

InstructCoder: Empowering Language Models for Code Editing. - Qisheng Hu; Kaixin Li; Xu Zhao; Yuxi Xie; Tiedong Liu; Hui Chen; Qizhe Xie; Junxian He (CoRR, 2023)

Prompt Optimization via Adversarial In-Context Learning. - Xuan Long Do; Yiran Zhao 006; Hannah Brown; Yuxi Xie; James Xu Zhao; Nancy F. Chen; Kenji Kawaguchi; Michael Qizhe Xie; Junxian He (CoRR, 2023)

Can AI Be as Creative as Humans? - Haonan Wang; James Zou 001; Michael Mozer; Anirudh Goyal; Alex Lamb; Linjun Zhang; Weijie J. Su; Zhun Deng; Michael Qizhe Xie; Hannah Brown; Kenji Kawaguchi (CoRR, 2024)