Xuezhe Ma - RankMe

115 papers A* 18B 1Journal 55Unranked 40

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Asymmetric Idiosyncrasies in Multimodal Models. CoRR Muzi Tao, Chufan Shi, Huijuan Wang, Shengbang Tong, Xuezhe Ma
2026	J	`jnl`	Don't Let It Hallucinate: Premise Verification via Retrieval-Augmented Logical Reasoning. Trans. Mach. Learn. Res. Yuehan Qin, Li Li, Yi Nian, Xinyan Velocity Yu, Yue Zhao, Xuezhe Ma
2026	J	`jnl`	Gecko: An Efficient Neural Architecture Inherently Processing Sequences with Arbitrary Lengths. CoRR Xuezhe Ma, Shicheng Wen, Linghao Jin, Bilge Acun, Ruihang Lai, Bohan Hou, Will Lin, Hao Zhang, Songlin Yang, Ryan Lee, Mengxi Wu, Jonathan May, Luke Zettlemoyer, Carole-Jean Wu
2026	A*	`conf`	MegaCoin: Enhancing Medium-Grained Color Perception for Vision-Language Models. AAAI Ming-Chang Chiu, Shicheng Wen, Pin-Yu Chen, Xuezhe Ma
2026	J	`jnl`	UReason: Benchmarking the Reasoning Paradox in Unified Multimodal Models. CoRR Cheng Yang, Chufan Shi, Bo Shui, Yaokang Wu, Muzi Tao, Huijuan Wang, Ivan Yee Lee, Yong Liu, Xuezhe Ma, Taylor Berg-Kirkpatrick
2025	J	`jnl`	AIDE: Agentically Improve Visual Language Model with Domain Experts. CoRR Ming-Chang Chiu, Fuxiao Liu, Karan Sapra, Andrew Tao, Yaser Jacoob, Xuezhe Ma, Zhiding Yu, Guilin Liu
2025	—	`conf`	ColorSense: A Study on Color Vision in Machine Visual Recognition. SaTML Ming-Chang Chiu, Yingfei Wang, Derrick Eui Gyu Kim, Pin-Yu Chen, Xuezhe Ma
2025	J	`jnl`	Don't Let It Hallucinate: Premise Verification via Retrieval-Augmented Logical Reasoning. CoRR Yuehan Qin, Shawn Li, Yi Nian, Xinyan Velocity Yu, Yue Zhao, Xuezhe Ma
2025	J	`jnl`	K2-Think: A Parameter-Efficient Reasoning System. CoRR Zhoujun Cheng, Richard Fan, Shibo Hao, Taylor W. Killian, Haonan Li, Suqi Sun, Hector Ren, Alexander Moreno, Daqian Zhang, Tianjun Zhong, Yuxin Xiong, Yuanzhe Hu, Yutao Xie, Xudong Han, Yuqi Wang, Varad Pimpalkhute, Yonghao Zhuang, Aaryamonvikram Singh, Xuezhi Liang, Anze Xie, Jianshu She, Desai Fan, Chengqian Gao, Liqun Ma, Mikhail Yurochkin, John Maggs, Xuezhe Ma, Guowei He, Zhiting Hu, Zhengzhong Liu, Eric P. Xing
2025	—	`conf`	LLM The Genius Paradox: A Linguistic and Math Expert's Struggle with Simple Word-based Counting Problems. NAACL (Long Papers) Nan Xu, Xuezhe Ma
2025	A*	`conf`	Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model. ICLR Chunting Zhou, Lili Yu, Arun Babu, Kushal Tirumala, Michihiro Yasunaga, Leonid Shamis, Jacob Kahn, Xuezhe Ma, Luke Zettlemoyer, Omer Levy
2024	J	`jnl`	DecoPrompt : Decoding Prompts Reduces Hallucinations when Large Language Models Meet False Premises. CoRR Nan Xu, Xuezhe Ma
2024	J	`jnl`	LLM The Genius Paradox: A Linguistic and Math Expert's Struggle with Simple Word-based Counting Problems. CoRR Nan Xu, Xuezhe Ma
2024	—	`conf`	Light-weight Fine-tuning Method for Defending Adversarial Noise in Pre-trained Medical Vision-Language Models. EMNLP (Findings) Xu Han, Linghao Jin, Xuezhe Ma, Xiaofeng Liu
2024	J	`jnl`	Light-weight Fine-tuning Method for Defending Adversarial Noise in Pre-trained Medical Vision-Language Models. CoRR Xu Han, Linghao Jin, Xuezhe Ma, Xiaofeng Liu
2024	A*	`conf`	MIDDAG: Where Does Our News Go? Investigating Information Diffusion via Community-Level Information Pathways. AAAI Mingyu Derek Ma, Alexander K. Taylor, Nuan Wen, Yanchen Liu, Po-Nien Kung, Wenna Qin, Shicheng Wen, Azure Zhou, Diyi Yang, Xuezhe Ma, Nanyun Peng, Wei Wang
2024	J	`jnl`	MegaCOIN: Enhancing Medium-Grained Color Perception for Vision-Language Models. CoRR Ming-Chang Chiu, Shicheng Wen, Pin-Yu Chen, Xuezhe Ma
2024	A*	`conf`	Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length. NeurIPS Xuezhe Ma, Xiaomeng Yang, Wenhan Xiong, Beidi Chen, Lili Yu, Hao Zhang, Jonathan May, Luke Zettlemoyer, Omer Levy, Chunting Zhou
2024	J	`jnl`	Megalodon: Efficient LLM Pretraining and Inference with Unlimited Context Length. CoRR Xuezhe Ma, Xiaomeng Yang, Wenhan Xiong, Beidi Chen, Lili Yu, Hao Zhang, Jonathan May, Luke Zettlemoyer, Omer Levy, Chunting Zhou
2024	J	`jnl`	PatentEdits: Framing Patent Novelty as Textual Entailment. CoRR Ryan Lee, Alexander Spangher, Xuezhe Ma
2024	J	`jnl`	Towards Chapter-to-Chapter Context-Aware Literary Translation via Large Language Models. CoRR Linghao Jin, Li An, Xuezhe Ma
2024	J	`jnl`	Transfusion: Predict the Next Token and Diffuse Images with One Multi-Modal Model. CoRR Chunting Zhou, Lili Yu, Arun Babu, Kushal Tirumala, Michihiro Yasunaga, Leonid Shamis, Jacob Kahn, Xuezhe Ma, Luke Zettlemoyer, Omer Levy
2023	A*	`conf`	Better May Not Be Fairer: A Study on Subgroup Discrepancy in Image Classification. ICCV Ming-Chang Chiu, Pin-Yu Chen, Xuezhe Ma
2023	A*	`conf`	Challenges in Context-Aware Neural Machine Translation. EMNLP Linghao Jin, Jacqueline He, Jonathan May, Xuezhe Ma
2023	J	`jnl`	Challenges in Context-Aware Neural Machine Translation. CoRR Linghao Jin, Jacqueline He, Jonathan May, Xuezhe Ma
2023	A*	`conf`	Evaluating Large Language Models on Controlled Generation Tasks. EMNLP Jiao Sun, Yufei Tian, Wangchunshu Zhou, Nan Xu, Qian Hu, Rahul Gupta, John Frederick Wieting, Nanyun Peng, Xuezhe Ma
2023	J	`jnl`	Evaluating Large Language Models on Controlled Generation Tasks. CoRR Jiao Sun, Yufei Tian, Wangchunshu Zhou, Nan Xu, Qian Hu, Rahul Gupta, John Frederick Wieting, Nanyun Peng, Xuezhe Ma
2023	—	`conf`	Know Where You're Going: Meta-Learning for Parameter-Efficient Fine-Tuning. ACL (Findings) Mozhdeh Gheini, Xuezhe Ma, Jonathan May
2023	A*	`conf`	LIMA: Less Is More for Alignment. NeurIPS Chunting Zhou, Pengfei Liu, Puxin Xu, Srinivasan Iyer, Jiao Sun, Yuning Mao, Xuezhe Ma, Avia Efrat, Ping Yu, Lili Yu, Susan Zhang, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer, Omer Levy
2023	J	`jnl`	LIMA: Less Is More for Alignment. CoRR Chunting Zhou, Pengfei Liu, Puxin Xu, Srini Iyer, Jiao Sun, Yuning Mao, Xuezhe Ma, Avia Efrat, Ping Yu, Lili Yu, Susan Zhang, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer, Omer Levy
2023	J	`jnl`	LightSeq: Sequence Level Parallelism for Distributed Training of Long Context Transformers. CoRR Dacheng Li, Rulin Shao, Anze Xie, Eric P. Xing, Joseph E. Gonzalez, Ion Stoica, Xuezhe Ma, Hao Zhang
2023	A*	`conf`	Look-back Decoding for Open-Ended Text Generation. EMNLP Nan Xu, Chunting Zhou, Asli Celikyilmaz, Xuezhe Ma
2023	J	`jnl`	Look-back Decoding for Open-Ended Text Generation. CoRR Nan Xu, Chunting Zhou, Asli Celikyilmaz, Xuezhe Ma
2023	—	`conf`	MAX-ISI System at WMT23 Discourse-Level Literary Translation Task. WMT Li An, Linghao Jin, Xuezhe Ma
2023	J	`jnl`	MIDDAG: Where Does Our News Go? Investigating Information Diffusion via Community-Level Information Pathways. CoRR Mingyu Derek Ma, Alexander K. Taylor, Nuan Wen, Yanchen Liu, Po-Nien Kung, Wenna Qin, Shicheng Wen, Azure Zhou, Diyi Yang, Xuezhe Ma, Nanyun Peng, Wei Wang
2023	A*	`conf`	Mega: Moving Average Equipped Gated Attention. ICLR Xuezhe Ma, Chunting Zhou, Xiang Kong, Junxian He, Liangke Gui, Graham Neubig, Jonathan May, Luke Zettlemoyer
2023	—	`conf`	RECAP: Retrieval-Enhanced Context-Aware Prefix Encoder for Personalized Dialogue Response Generation. ACL (1) Shuai Liu, Hyundong Cho, Marjorie Freedman, Xuezhe Ma, Jonathan May
2023	J	`jnl`	RECAP: Retrieval-Enhanced Context-Aware Prefix Encoder for Personalized Dialogue Response Generation. CoRR Shuai Liu, Hyundong Cho, Marjorie Freedman, Xuezhe Ma, Jonathan May
2022	J	`jnl`	Better May Not Be Fairer: Can Data Augmentation Mitigate Subgroup Degradation? CoRR Ming-Chang Chiu, Pin-Yu Chen, Xuezhe Ma
2022	A*	`conf`	Improving Stability of Fine-Tuning Pretrained Language Models via Component-Wise Gradient Norm Clipping. EMNLP Chenghao Yang, Xuezhe Ma
2022	J	`jnl`	Improving Stability of Fine-Tuning Pretrained Language Models via Component-Wise Gradient Norm Clipping. CoRR Chenghao Yang, Xuezhe Ma
2022	—	`conf`	Investigating the Benefits of Free-Form Rationales. EMNLP (Findings) Jiao Sun, Swabha Swayamdipta, Jonathan May, Xuezhe Ma
2022	J	`jnl`	Investigating the Benefits of Free-Form Rationales. CoRR Jiao Sun, Swabha Swayamdipta, Jonathan May, Xuezhe Ma
2022	J	`jnl`	Know Where You're Going: Meta-Learning for Parameter-Efficient Fine-tuning. CoRR Mozhdeh Gheini, Xuezhe Ma, Jonathan May
2022	J	`jnl`	Learning Representations Robust to Group Shifts and Adversarial Examples. CoRR Ming-Chang Chiu, Xuezhe Ma
2022	J	`jnl`	Mega: Moving Average Equipped Gated Attention. CoRR Xuezhe Ma, Chunting Zhou, Xiang Kong, Junxian He, Liangke Gui, Graham Neubig, Jonathan May, Luke Zettlemoyer
2022	J	`jnl`	On Human Visual Contrast Sensitivity and Machine Vision Robustness: A Comparative Study. CoRR Ming-Chang Chiu, Yingfei Wang, Derrick Eui Gyu Kim, Pin-Yu Chen, Xuezhe Ma
2022	—	`conf`	Prompt Consistency for Zero-Shot Task Generalization. EMNLP (Findings) Chunting Zhou, Junxian He, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig
2022	J	`jnl`	Prompt Consistency for Zero-Shot Task Generalization. CoRR Chunting Zhou, Junxian He, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig
2022	A*	`conf`	Towards a Unified View of Parameter-Efficient Transfer Learning. ICLR Junxian He, Chunting Zhou, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig
2022	—	`ed.`	Transfer Learning for Natural Language Processing Workshop, 03 December 2022, New Orleans, Louisiana, USA TL4NLP Alon Albalak, Chunting Zhou, Colin Raffel, Deepak Ramachandran, Sebastian Ruder, Xuezhe Ma
2021	—	`conf`	AESOP: Paraphrase Generation with Adaptive Syntactic Control. EMNLP (1) Jiao Sun, Xuezhe Ma, Nanyun Peng
2021	—	`conf`	COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences. ACL/IJCNLP (Findings) Shikhar Singh, Nuan Wen, Yu Hou, Pegah Alipoormolabashi, Te-Lin Wu, Xuezhe Ma, Nanyun Peng
2021	J	`jnl`	COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences. CoRR Shikhar Singh, Nuan Wen, Yu Hou, Pegah Alipoormolabashi, Te-Lin Wu, Xuezhe Ma, Nanyun Peng
2021	A*	`conf`	Decoupling Global and Local Representations via Invertible Generative Flows. ICLR Xuezhe Ma, Xiang Kong, Shanghang Zhang, Eduard H. Hovy
2021	—	`conf`	DiSCoL: Toward Engaging Dialogue Systems through Conversational Line Guided Response Generation. NAACL-HLT (Demonstrations) Sarik Ghazarian, Zixi Liu, Tuhin Chakrabarty, Xuezhe Ma, Aram Galstyan, Nanyun Peng
2021	J	`jnl`	DiSCoL: Toward Engaging Dialogue Systems through Conversational Line Guided Response Generation. CoRR Sarik Ghazarian, Zixi Liu, Tuhin Chakrabarty, Xuezhe Ma, Aram Galstyan, Nanyun Peng
2021	A*	`conf`	Examining and Combating Spurious Features under Distribution Shift. ICML Chunting Zhou, Xuezhe Ma, Paul Michel, Graham Neubig
2021	J	`jnl`	Examining and Combating Spurious Features under Distribution Shift. CoRR Chunting Zhou, Xuezhe Ma, Paul Michel, Graham Neubig
2021	A*	`conf`	Luna: Linear Unified Nested Attention. NeurIPS Xuezhe Ma, Xiang Kong, Sinong Wang, Chunting Zhou, Jonathan May, Hao Ma, Luke Zettlemoyer
2021	J	`jnl`	Luna: Linear Unified Nested Attention. CoRR Xuezhe Ma, Xiang Kong, Sinong Wang, Chunting Zhou, Jonathan May, Hao Ma, Luke Zettlemoyer
2021	—	`conf`	Personalized Response Generation via Generative Split Memory Network. NAACL-HLT Yuwei Wu, Xuezhe Ma, Diyi Yang
2021	J	`jnl`	Towards a Unified View of Parameter-Efficient Transfer Learning. CoRR Junxian He, Chunting Zhou, Xuezhe Ma, Taylor Berg-Kirkpatrick, Graham Neubig
2020	A*	`conf`	A Two-Step Approach for Implicit Event Argument Detection. ACL Zhisong Zhang, Xiang Kong, Zhengzhong Liu, Xuezhe Ma, Eduard H. Hovy
2020	J	`jnl`	Apollo: An Adaptive Parameter-wise Diagonal Quasi-Newton Method for Nonconvex Stochastic Optimization. CoRR Xuezhe Ma
2020	J	`jnl`	Decoupling Global and Local Representations from/for Image Generation. CoRR Xuezhe Ma, Xiang Kong, Shanghang Zhang, Eduard H. Hovy
2019	—	`conf`	An Empirical Investigation of Structured Output Modeling for Graph-based Neural Dependency Parsing. ACL (1) Zhisong Zhang, Xuezhe Ma, Eduard H. Hovy
2019	—	`conf`	Choosing Transfer Languages for Cross-Lingual Learning. ACL (1) Yu-Hsiang Lin, Chian-Yu Chen, Jean Lee, Zirui Li, Yuyan Zhang, Mengzhou Xia, Shruti Rijhwani, Junxian He, Zhisong Zhang, Xuezhe Ma, Antonios Anastasopoulos, Patrick Littell, Graham Neubig
2019	J	`jnl`	Choosing Transfer Languages for Cross-Lingual Learning. CoRR Yu-Hsiang Lin, Chian-Yu Chen, Jean Lee, Zirui Li, Yuyan Zhang, Mengzhou Xia, Shruti Rijhwani, Junxian He, Zhisong Zhang, Xuezhe Ma, Antonios Anastasopoulos, Patrick Littell, Graham Neubig
2019	B	`conf`	Cross-Lingual Dependency Parsing with Unlabeled Auxiliary Languages. CoNLL Wasi Uddin Ahmad, Zhisong Zhang, Xuezhe Ma, Kai-Wei Chang, Nanyun Peng
2019	J	`jnl`	Cross-lingual Dependency Parsing with Unlabeled Auxiliary Languages. CoRR Wasi Uddin Ahmad, Zhisong Zhang, Xuezhe Ma, Kai-Wei Chang, Nanyun Peng
2019	—	`conf`	Density Matching for Bilingual Word Embedding. NAACL-HLT (1) Chunting Zhou, Xuezhe Ma, Di Wang, Graham Neubig
2019	J	`jnl`	Density Matching for Bilingual Word Embedding. CoRR Chunting Zhou, Xuezhe Ma, Di Wang, Graham Neubig
2019	—	`conf`	FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow. EMNLP/IJCNLP (1) Xuezhe Ma, Chunting Zhou, Xian Li, Graham Neubig, Eduard H. Hovy
2019	J	`jnl`	FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow. CoRR Xuezhe Ma, Chunting Zhou, Xian Li, Graham Neubig, Eduard H. Hovy
2019	—	`conf`	Handling Syntactic Divergence in Low-resource Machine Translation. EMNLP/IJCNLP (1) Chunting Zhou, Xuezhe Ma, Junjie Hu, Graham Neubig
2019	J	`jnl`	Handling Syntactic Divergence in Low-resource Machine Translation. CoRR Chunting Zhou, Xuezhe Ma, Junjie Hu, Graham Neubig
2019	—	`conf`	MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders. ICLR (Poster) Xuezhe Ma, Chunting Zhou, Eduard H. Hovy
2019	J	`jnl`	MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders. CoRR Xuezhe Ma, Chunting Zhou, Eduard H. Hovy
2019	A*	`conf`	MaCow: Masked Convolutional Generative Flow. NeurIPS Xuezhe Ma, Xiang Kong, Shanghang Zhang, Eduard H. Hovy
2019	J	`jnl`	MaCow: Masked Convolutional Generative Flow. CoRR Xuezhe Ma, Eduard H. Hovy
2019	—	`conf`	OPERA: Operations-oriented Probabilistic Extraction, Reasoning, and Analysis. TAC Eduard H. Hovy, Jaime G. Carbonell, Hans Chalupsky, Anatole Gershman, Alex Hauptmann, Florian Metze, Teruko Mitamura, Zaid Sheikh, Ankit Dangi, Aditi Chaudhary, Xianyang Chen, Xiang Kong, Bernie Huang, Salvador Medina, Hector Liu, Xuezhe Ma, Maria Ryskina, Ramon Sanabria, Varun Gangal
2019	—	`conf`	On Difficulties of Cross-Lingual Transfer with Order Differences: A Case Study on Dependency Parsing. NAACL-HLT (1) Wasi Uddin Ahmad, Zhisong Zhang, Xuezhe Ma, Eduard H. Hovy, Kai-Wei Chang, Nanyun Peng
2019	—	`conf`	Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. ACL (3) 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
2018	J	`jnl`	Near or Far, Wide Range Zero-Shot Cross-Lingual Dependency Parsing. CoRR Wasi Uddin Ahmad, Zhisong Zhang, Xuezhe Ma, Eduard H. Hovy, Kai-Wei Chang, Nanyun Peng
2018	—	`conf`	OPERA: Operations-oriented Probabilistic Extraction, Reasoning, and Analysis. TAC Eduard H. Hovy, Taylor Berg-Kirkpatrick, Jaime G. Carbonell, Hans Chalupsky, Anatole Gershman, Alexander G. Hauptmann, Florian Metze, Teruko Mitamura, Aditi Chaudhary, Xianyang Chen, Bernie Po-Yao Huang, Hector Zhengzhong Liu, Xuezhe Ma, Shruti Palaskar, Dheeraj Rajagopal, Maria Ryskina, Ramon Sanabria
2018	—	`conf`	Stack-Pointer Networks for Dependency Parsing. ACL (1) Xuezhe Ma, Zecong Hu, Jingzhou Liu, Nanyun Peng, Graham Neubig, Eduard H. Hovy
2018	J	`jnl`	Stack-Pointer Networks for Dependency Parsing. CoRR Xuezhe Ma, Zecong Hu, Jingzhou Liu, Nanyun Peng, Graham Neubig, Eduard H. Hovy
2018	J	`jnl`	Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. CoRR 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
2017	—	`conf`	An Interpretable Knowledge Transfer Model for Knowledge Base Completion. ACL (1) Qizhe Xie, Xuezhe Ma, Zihang Dai, Eduard H. Hovy
2017	J	`jnl`	An Interpretable Knowledge Transfer Model for Knowledge Base Completion. CoRR Qizhe Xie, Xuezhe Ma, Zihang Dai, Eduard H. Hovy
2017	—	`conf`	CMU System for Entity Discovery and Linking at TAC-KBP 2017. TAC Xuezhe Ma, Nicolas R. Fauceglia, Yiu-Chang Lin, Eduard H. Hovy
2017	—	`conf`	Dropout with Expectation-linear Regularization. ICLR (Poster) Xuezhe Ma, Yingkai Gao, Zhiting Hu, Yaoliang Yu, Yuntian Deng, Eduard H. Hovy
2017	—	`conf`	Multi-lingual Extraction and Integration of Entities, Relations, Events and Sentiments into ColdStart++ KBs with the SAFT System. TAC Hans Chalupsky, Jun Araki, Eduard H. Hovy, Andrew Hsi, Zhengzhong Liu, Xuezhe Ma, Evangelia Spiliopoulou, Shuxin Yao
2017	—	`conf`	Neural Probabilistic Model for Non-projective MST Parsing. IJCNLP(1) Xuezhe Ma, Eduard H. Hovy
2017	J	`jnl`	Neural Probabilistic Model for Non-projective MST Parsing. CoRR Xuezhe Ma, Eduard H. Hovy
2017	—	`conf`	STCP: Simplified-Traditional Chinese Conversion and Proofreading. IJCNLP (System Demonstrations) Jiarui Xu, Xuezhe Ma, Chen-Tse Tsai, Eduard H. Hovy
2017	J	`jnl`	Softmax Q-Distribution Estimation for Structured Prediction: A Theoretical Interpretation for RAML. CoRR Xuezhe Ma, Pengcheng Yin, Jingzhou Liu, Graham Neubig, Eduard H. Hovy
2016	—	`conf`	CMU System for Entity Discovery and Linking at TAC-KBP 2016. TAC Xuezhe Ma, Nicolas R. Fauceglia, Yiu-Chang Lin, Eduard H. Hovy
2016	J	`jnl`	Dropout with Expectation-linear Regularization. CoRR Xuezhe Ma, Yingkai Gao, Zhiting Hu, Yaoliang Yu, Yuntian Deng, Eduard H. Hovy
2016	—	`conf`	End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF. ACL (1) Xuezhe Ma, Eduard H. Hovy
2016	J	`jnl`	End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF. CoRR Xuezhe Ma, Eduard H. Hovy
2016	—	`conf`	Harnessing Deep Neural Networks with Logic Rules. ACL (1) Zhiting Hu, Xuezhe Ma, Zhengzhong Liu, Eduard H. Hovy, Eric P. Xing
2016	J	`jnl`	Harnessing Deep Neural Networks with Logic Rules. CoRR Zhiting Hu, Xuezhe Ma, Zhengzhong Liu, Eduard H. Hovy, Eric P. Xing
2016	—	`conf`	Unsupervised Ranking Model for Entity Coreference Resolution. HLT-NAACL Xuezhe Ma, Zhengzhong Liu, Eduard H. Hovy
2016	J	`jnl`	Unsupervised Ranking Model for Entity Coreference Resolution. CoRR Xuezhe Ma, Zhengzhong Liu, Eduard H. Hovy
2015	—	`conf`	CMU System for Entity Discovery and Linking at TAC-KBP 2015. TAC Nicolas R. Fauceglia, Yiu-Chang Lin, Xuezhe Ma, Eduard H. Hovy
2015	A*	`conf`	Efficient Inner-to-outer Greedy Algorithm for Higher-order Labeled Dependency Parsing. EMNLP Xuezhe Ma, Eduard H. Hovy
2015	J	`jnl`	Probabilistic Models for High-Order Projective Dependency Parsing. CoRR Xuezhe Ma, Hai Zhao
2015	—	`conf`	Word Sense Disambiguation via PropStore and OntoNotes for Event Mention Detection. EVENTS@HLP-NAACL Nicolas R. Fauceglia, Yiu-Chang Lin, Xuezhe Ma, Eduard H. Hovy
2014	—	`conf`	Unsupervised Dependency Parsing with Transferring Distribution via Parallel Guidance and Entropy Regularization. ACL (1) Xuezhe Ma, Fei Xia
2013	—	`conf`	Dependency Parser Adaptation with Subtrees from Auto-Parsed Target Domain Data. ACL (2) Xuezhe Ma, Fei Xia
2012	—	`conf`	Fourth-Order Dependency Parsing. COLING (Posters) Xuezhe Ma, Hai Zhao
2010	—	`conf`	Automatic prosody prediction and detection with Conditional Random Field (CRF) models. ISCSLP Yao Qian, Zhizheng Wu, Xuezhe Ma, Frank K. Soong
2010	—	`conf`	Dependency Parser for Chinese Constituent Parsing. CIPS-SIGHAN Xuezhe Ma, Xiaotian Zhang, Hai Zhao, Bao-Liang Lu