Sheng Zhang - RankMe

90 papers A* 11B 1Journal 59Unranked 19

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Scaling medical imaging report generation with multimodal reinforcement learning. CoRR Qianchu Liu, Sheng Zhang, Guanghui Qin, Yu Gu, Ying Jin, Sam Preston, Yanbo Xu, Sid Kiblawi, Wen-Wai Yim, Timothy Ossowski, Tristan Naumann, Mu Wei, Hoifung Poon
2025	J	`jnl`	ArenaBencher: Automatic Benchmark Evolution via Multi-Model Competitive Evaluation. CoRR Qin Liu, Jacob Dineen, James Y. Huang, Sheng Zhang, Hoifung Poon, Ben Zhou, Muhao Chen
2025	J	`jnl`	Be My Eyes: Extending Large Language Models to New Modalities Through Multi-Agent Collaboration. CoRR James Y. Huang, Sheng Zhang, Qianchu Liu, Guanghui Qin, Tinghui Zhu, Tristan Naumann, Muhao Chen, Hoifung Poon
2025	J	`jnl`	Exploring Scaling Laws for EHR Foundation Models. CoRR Sheng Zhang, Qin Liu, Naoto Usuyama, Cliff Wong, Tristan Naumann, Hoifung Poon
2025	—	`conf`	From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning. NAACL (Long Papers) Nan Xu, Fei Wang, Sheng Zhang, Hoifung Poon, Muhao Chen
2025	J	`jnl`	Generative Medical Event Models Improve with Scale. CoRR Shane Waxler, Paul Blazek, Davis White, Daniel Sneider, Kevin Chung, Mani Nagarathnam, Patrick Williams, Hank Voeller, Karen Wong, Matthew Swanhorst, Sheng Zhang, Naoto Usuyama, Cliff Wong, Tristan Naumann, Hoifung Poon, Andrew Loza, Daniella Meeker, Seth Hain, Rahul Shah
2025	J	`jnl`	Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning. CoRR Sheng Zhang, Qianchu Liu, Guanghui Qin, Tristan Naumann, Hoifung Poon
2025	J	`jnl`	MetaScale: Test-Time Scaling with Evolving Meta-Thoughts. CoRR Qin Liu, Wenxuan Zhou, Nan Xu, James Y. Huang, Fei Wang, Sheng Zhang, Hoifung Poon, Muhao Chen
2025	A*	`conf`	MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding. ICLR Fei Wang, Xingyu Fu, James Y. Huang, Zekun Li, Qin Liu, Xiaogeng Liu, Mingyu Derek Ma, Nan Xu, Wenxuan Zhou, Kai Zhang, Tianyi Lorena Yan, Wenjie Jacky Mo, Hsiang-Hui Liu, Pan Lu, Chunyuan Li, Chaowei Xiao, Kai-Wei Chang, Dan Roth, Sheng Zhang, Hoifung Poon, Muhao Chen
2025	J	`jnl`	Multimodal Reinforcement Learning with Agentic Verifier for AI Agents. CoRR Reuben Tan, Baolin Peng, Zhengyuan Yang, Hao Cheng, Oier Mees, Theodore Zhao, Andrea Tupini, Isar Meijier, Qianhui Wu, Yuncong Yang, Lars Liden, Yu Gu, Sheng Zhang, Xiaodong Liu, Lijuan Wang, Marc Pollefeys, Yong Jae Lee, Jianfeng Gao
2025	J	`jnl`	OctoMed: Data Recipes for State-of-the-Art Multimodal Medical Reasoning. CoRR Timothy Ossowski, Sheng Zhang, Qianchu Liu, Guanghui Qin, Reuben Tan, Tristan Naumann, Junjie Hu, Hoifung Poon
2025	J	`jnl`	Offset Unlearning for Large Language Models. Trans. Mach. Learn. Res. James Y. Huang, Wenxuan Zhou, Fei Wang, Fred Morstatter, Sheng Zhang, Hoifung Poon, Muhao Chen
2025	J	`jnl`	OmniStruct: Universal Text-to-Structure Generation across Diverse Schemas. CoRR James Y. Huang, Wenxuan Zhou, Nan Xu, Fei Wang, Qin Liu, Sheng Zhang, Hoifung Poon, Muhao Chen
2025	J	`jnl`	Semantic-Clipping: Efficient Vision-Language Modeling with Semantic-Guidedd Visual Selection. CoRR Bangzheng Li, Fei Wang, Wenxuan Zhou, Nan Xu, Ben Zhou, Sheng Zhang, Hoifung Poon, Muhao Chen
2025	J	`jnl`	The Illusion of Readiness: Stress Testing Large Frontier Models on Multimodal Medical Benchmarks. CoRR Yu Gu, Jingjing Fu, Xiaodong Liu, Jeya Maria Jose Valanarasu, Noel C. F. Codella, Reuben Tan, Qianchu Liu, Ying Jin, Sheng Zhang, Jinyu Wang, Rui Wang, Lei Song, Guanghui Qin, Naoto Usuyama, Cliff Wong, Hao Cheng, Ho Hin Lee, Praneeth Sanapathi, Sarah Hilado, Jiang Bian, Javier Alvarez-Valle, Mu Wei, Khalil Malik, Jianfeng Gao, Eric Horvitz, Matthew P. Lungren, Hoifung Poon, Paul Vozila
2025	J	`jnl`	Universal Abstraction: Harnessing Frontier Models to Structure Real-World Data at Scale. CoRR Cliff Wong, Sam Preston, Qianchu Liu, Zelalem Gero, Jass Bagga, Sheng Zhang, Shrey Jain, Theodore Zhao, Yu Gu, Yanbo Xu, Sid Kiblawi, Roshanthi Weerasinghe, Rom S. Leidner, Kristina Young, Brian Piening, Carlo Bifulco, Tristan Naumann, Mu Wei, Hoifung Poon
2025	J	`jnl`	X-Reasoner: Towards Generalizable Reasoning Across Modalities and Domains. CoRR Qianchu Liu, Sheng Zhang, Guanghui Qin, Timothy Ossowski, Yu Gu, Ying Jin, Sid Kiblawi, Sam Preston, Mu Wei, Paul Vozila, Tristan Naumann, Hoifung Poon
2024	J	`jnl`	Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries. CoRR Zelalem Gero, Chandan Singh, Yiqing Xie, Sheng Zhang, Tristan Naumann, Jianfeng Gao, Hoifung Poon
2024	—	`conf`	DocLens: Multi-aspect Fine-grained Medical Text Evaluation. ACL (1) Yiqing Xie, Sheng Zhang, Hao Cheng, Pengfei Liu, Zelalem Gero, Cliff Wong, Tristan Naumann, Hoifung Poon, Carolyn P. Rosé
2024	J	`jnl`	From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning. CoRR Nan Xu, Fei Wang, Sheng Zhang, Hoifung Poon, Muhao Chen
2024	J	`jnl`	From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond. CoRR Harsha Nori, Naoto Usuyama, Nicholas King, Scott Mayer McKinney, Xavier Fernandes, Sheng Zhang, Eric Horvitz
2024	J	`jnl`	MedFuzz: Exploring the Robustness of Large Language Models in Medical Question Answering. CoRR Robert Osazuwa Ness, Katie Matton, Hayden S. Helm, Sheng Zhang, Junaid Bajwa, Carey E. Priebe, Eric Horvitz
2024	J	`jnl`	MedImageInsight: An Open-Source Embedding Model for General Domain Medical Imaging. CoRR Noel C. F. Codella, Ying Jin, Shrey Jain, Yu Gu, Ho Hin Lee, Asma Ben Abacha, Alberto Santamaría-Pang, Will Guyman, Naiteek Sangani, Sheng Zhang, Hoifung Poon, Stephanie L. Hyland, Shruthi Bannur, Javier Alvarez-Valle, Xue Li, John W. Garrett, Alan B. McMillan, Gaurav Rajguru, Madhu Maddi, Nilesh Vijayrania, Rehaan Bhimai, Nick Mecklenburg, Rupal Jain, Daniel Holstein, Naveen Gaur, Vijay Aski, Jenq-Neng Hwang, Thomas Lin, Ivan Tarapov, Matthew P. Lungren, Mu Wei
2024	J	`jnl`	MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding. CoRR Fei Wang, Xingyu Fu, James Y. Huang, Zekun Li, Qin Liu, Xiaogeng Liu, Mingyu Derek Ma, Nan Xu, Wenxuan Zhou, Kai Zhang, Tianyi Lorena Yan, Wenjie Mo, Hsiang-Hui Liu, Pan Lu, Chunyuan Li, Chaowei Xiao, Kai-Wei Chang, Dan Roth, Sheng Zhang, Hoifung Poon, Muhao Chen
2024	J	`jnl`	Offset Unlearning for Large Language Models. CoRR James Y. Huang, Wenxuan Zhou, Fei Wang, Fred Morstatter, Sheng Zhang, Hoifung Poon, Muhao Chen
2024	J	`jnl`	T-Rex: Text-assisted Retrosynthesis Prediction. CoRR Yifeng Liu, Hanwen Xu, Tangqi Fang, Haocheng Xi, Zixuan Liu, Sheng Zhang, Hoifung Poon, Sheng Wang
2024	J	`jnl`	Training Small Multimodal Models to Bridge Biomedical Competency Gap: A Case Study in Radiology Imaging. CoRR Juan Manuel Zambrano Chaves, Shih-Cheng Huang, Yanbo Xu, Hanwen Xu, Naoto Usuyama, Sheng Zhang, Fei Wang, Yujia Xie, Mahmoud Khademi, Ziyi Yang, Hany Hassan Awadalla, Julia Gong, Houdong Hu, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Yu Gu, Cliff Wong, Mu Wei, Tristan Naumann, Muhao Chen, Matthew P. Lungren, Serena Yeung-Levy, Curtis P. Langlotz, Sheng Wang, Hoifung Poon
2024	A*	`conf`	UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition. ICLR Wenxuan Zhou, Sheng Zhang, Yu Gu, Muhao Chen, Hoifung Poon
2024	A*	`conf`	mDPO: Conditional Preference Optimization for Multimodal Large Language Models. EMNLP Fei Wang, Wenxuan Zhou, James Y. Huang, Nan Xu, Sheng Zhang, Hoifung Poon, Muhao Chen
2024	J	`jnl`	mDPO: Conditional Preference Optimization for Multimodal Large Language Models. CoRR Fei Wang, Wenxuan Zhou, James Y. Huang, Nan Xu, Sheng Zhang, Hoifung Poon, Muhao Chen
2023	J	`jnl`	Benchmarking Diverse-Modal Entity Linking with Generative Models. CoRR Sijia Wang, Alexander Hanbo Li, Henry Zhu, Sheng Zhang, Chung-Wei Hang, Pramuditha Perera, Jie Ma, William Wang, Zhiguo Wang, Vittorio Castelli, Bing Xiang, Patrick Ng
2023	J	`jnl`	BiomedJourney: Counterfactual Biomedical Image Generation by Instruction-Learning from Multimodal Patient Journeys. CoRR Yu Gu, Jianwei Yang, Naoto Usuyama, Chunyuan Li, Sheng Zhang, Matthew P. Lungren, Jianfeng Gao, Hoifung Poon
2023	J	`jnl`	Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine. CoRR Harsha Nori, Yin Tat Lee, Sheng Zhang, Dean Carignan, Richard Edgar, Nicolò Fusi, Nicholas King, Jonathan Larson, Yuanzhi Li, Weishung Liu, Renqian Luo, Scott Mayer McKinney, Robert Osazuwa Ness, Hoifung Poon, Tao Qin, Naoto Usuyama, Christopher M. White, Eric Horvitz
2023	J	`jnl`	Compositional Zero-Shot Domain Transfer with Text-to-Text Models. CoRR Fangyu Liu, Qianchu Liu, Shruthi Bannur, Fernando Pérez-García, Naoto Usuyama, Sheng Zhang, Tristan Naumann, Aditya V. Nori, Hoifung Poon, Javier Alvarez-Valle, Ozan Oktay, Stephanie L. Hyland
2023	J	`jnl`	Compositional Zero-Shot Domain Transfer with Text-to-Text Models. Trans. Assoc. Comput. Linguistics Fangyu Liu, Qianchu Liu, Shruthi Bannur, Fernando Pérez-García, Naoto Usuyama, Sheng Zhang, Tristan Naumann, Aditya V. Nori, Hoifung Poon, Javier Alvarez-Valle, Ozan Oktay, Stephanie L. Hyland
2023	—	`conf`	Context-faithful Prompting for Large Language Models. EMNLP (Findings) Wenxuan Zhou, Sheng Zhang, Hoifung Poon, Muhao Chen
2023	J	`jnl`	Context-faithful Prompting for Large Language Models. CoRR Wenxuan Zhou, Sheng Zhang, Hoifung Poon, Muhao Chen
2023	—	`conf`	Continual Contrastive Finetuning Improves Low-Resource Relation Extraction. ACL (1) Wenxuan Zhou, Sheng Zhang, Tristan Naumann, Muhao Chen, Hoifung Poon
2023	J	`jnl`	Distilling Large Language Models for Biomedical Knowledge Extraction: A Case Study on Adverse Drug Events. CoRR Yu Gu, Sheng Zhang, Naoto Usuyama, Yonas Woldesenbet, Cliff Wong, Praneeth Sanapathi, Mu Wei, Naveen Valluri, Erika Strandberg, Tristan Naumann, Hoifung Poon
2023	J	`jnl`	Enhancing Medical Text Evaluation with GPT-4. CoRR Yiqing Xie, Sheng Zhang, Hao Cheng, Zelalem Gero, Cliff Wong, Tristan Naumann, Hoifung Poon
2023	—	`conf`	Interactive Span Recommendation for Biomedical Text. ClinicalNLP@ACL Louis Blankemeier, Theodore Zhao, Robert Tinn, Sid Kiblawi, Yu Gu, Akshay Chaudhari, Hoifung Poon, Sheng Zhang, Mu Wei, Joseph Preston
2023	A*	`conf`	LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day. NeurIPS Chunyuan Li, Cliff Wong, Sheng Zhang, Naoto Usuyama, Haotian Liu, Jianwei Yang, Tristan Naumann, Hoifung Poon, Jianfeng Gao
2023	J	`jnl`	LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day. CoRR Chunyuan Li, Cliff Wong, Sheng Zhang, Naoto Usuyama, Haotian Liu, Jianwei Yang, Tristan Naumann, Hoifung Poon, Jianfeng Gao
2023	J	`jnl`	Large-Scale Domain-Specific Pretraining for Biomedical Vision-Language Processing. CoRR Sheng Zhang, Yanbo Xu, Naoto Usuyama, Jaspreet Bagga, Robert Tinn, Sam Preston, Rajesh Rao, Mu Wei, Naveen Valluri, Cliff Wong, Matthew P. Lungren, Tristan Naumann, Hoifung Poon
2023	A*	`conf`	Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning. ICLR Sheng Zhang, Hao Cheng, Jianfeng Gao, Hoifung Poon
2023	A*	`conf`	Precision Health in the Age of Large Language Models. KDD Hoifung Poon, Tristan Naumann, Sheng Zhang, Javier González Hernández
2023	—	`conf`	Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology. MLHC Cliff Wong, Sheng Zhang, Yu Gu, Christine Moung, Jacob Abel, Naoto Usuyama, Roshanthi Weerasinghe, Brian Piening, Tristan Naumann, Carlo Bifulco, Hoifung Poon
2023	J	`jnl`	Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology. CoRR Cliff Wong, Sheng Zhang, Yu Gu, Christine Moung, Jacob Abel, Naoto Usuyama, Roshanthi Weerasinghe, Brian Piening, Tristan Naumann, Carlo Bifulco, Hoifung Poon
2023	J	`jnl`	UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition. CoRR Wenxuan Zhou, Sheng Zhang, Yu Gu, Muhao Chen, Hoifung Poon
2022	J	`jnl`	BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining. CoRR Renqian Luo, Liai Sun, Yingce Xia, Tao Qin, Sheng Zhang, Hoifung Poon, Tie-Yan Liu
2022	J	`jnl`	BioGPT: generative pre-trained transformer for biomedical text generation and mining. Briefings Bioinform. Renqian Luo, Liai Sun, Yingce Xia, Tao Qin, Sheng Zhang, Hoifung Poon, Tie-Yan Liu
2022	J	`jnl`	Continual Contrastive Finetuning Improves Low-Resource Relation Extraction. CoRR Wenxuan Zhou, Sheng Zhang, Tristan Naumann, Muhao Chen, Hoifung Poon
2022	J	`jnl`	Importance of Synthesizing High-quality Data for Text-to-SQL Parsing. CoRR Yiyun Zhao, Jiarong Jiang, Yiqun Hu, Wuwei Lan, Henry Zhu, Anuj Chauhan, Alexander Hanbo Li, Lin Pan, Jun Wang, Chung-Wei Hang, Sheng Zhang, Marvin Dong, Joe Lilien, Patrick Ng, Zhiguo Wang, Vittorio Castelli, Bing Xiang
2022	—	`conf`	Knowledge-Rich Self-Supervision for Biomedical Entity Linking. EMNLP (Findings) Sheng Zhang, Hao Cheng, Shikhar Vashishth, Cliff Wong, Jinfeng Xiao, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
2022	J	`jnl`	Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning. CoRR Sheng Zhang, Hao Cheng, Jianfeng Gao, Hoifung Poon
2021	J	`jnl`	Joint Universal Syntactic and Semantic Parsing. CoRR Elias Stengel-Eskin, Kenton W. Murray, Sheng Zhang, Aaron Steven White, Benjamin Van Durme
2021	J	`jnl`	Joint Universal Syntactic and Semantic Parsing. Trans. Assoc. Comput. Linguistics Elias Stengel-Eskin, Kenton W. Murray, Sheng Zhang, Aaron Steven White, Benjamin Van Durme
2021	J	`jnl`	Knowledge-Rich Self-Supervised Entity Linking. CoRR Sheng Zhang, Hao Cheng, Shikhar Vashishth, Cliff Wong, Jinfeng Xiao, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon
2021	—	`conf`	Modular Self-Supervision for Document-Level Relation Extraction. EMNLP (1) Sheng Zhang, Cliff Wong, Naoto Usuyama, Sarthak Jain, Tristan Naumann, Hoifung Poon
2021	J	`jnl`	Modular Self-Supervision for Document-Level Relation Extraction. CoRR Sheng Zhang, Cliff Wong, Naoto Usuyama, Sarthak Jain, Tristan Naumann, Hoifung Poon
2020	B	`conf`	The Universal Decompositional Semantics Dataset and Decomp Toolkit. LREC Aaron Steven White, Elias Stengel-Eskin, Siddharth Vashishtha, Venkata Subrahmanyan Govindarajan, Dee Ann Reisinger, Tim Vieira, Keisuke Sakaguchi, Sheng Zhang, Francis Ferraro, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme
2020	A*	`conf`	Universal Decompositional Semantic Parsing. ACL Elias Stengel-Eskin, Aaron Steven White, Sheng Zhang, Benjamin Van Durme
2019	—	`conf`	AMR Parsing as Sequence-to-Graph Transduction. ACL (1) Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme
2019	J	`jnl`	AMR Parsing as Sequence-to-Graph Transduction. CoRR Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme
2019	—	`conf`	Broad-Coverage Semantic Parsing as Transduction. EMNLP/IJCNLP (1) Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme
2019	J	`jnl`	Broad-Coverage Semantic Parsing as Transduction. CoRR Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme
2019	—	`conf`	Deep Generalized Canonical Correlation Analysis. RepL4NLP@ACL Adrian Benton, Huda Khayrallah, Biman Gujral, Dee Ann Reisinger, Sheng Zhang, Raman Arora
2019	J	`jnl`	The Universal Decompositional Semantics Dataset and Decomp Toolkit. CoRR Aaron Steven White, Elias Stengel-Eskin, Siddharth Vashishtha, Venkata Subrahmanyan Govindarajan, Dee Ann Reisinger, Tim Vieira, Keisuke Sakaguchi, Sheng Zhang, Francis Ferraro, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme
2019	J	`jnl`	Transductive Parsing for Universal Decompositional Semantics. CoRR Elias Stengel-Eskin, Aaron Steven White, Sheng Zhang, Benjamin Van Durme
2019	—	`conf`	Unsupervised Deep Structured Semantic Models for Commonsense Reasoning. NAACL-HLT (1) Shuohang Wang, Sheng Zhang, Yelong Shen, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Jing Jiang
2019	J	`jnl`	Unsupervised Deep Structured Semantic Models for Commonsense Reasoning. CoRR Shuohang Wang, Sheng Zhang, Yelong Shen, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Jing Jiang
2018	A*	`conf`	Cross-lingual Decompositional Semantic Parsing. EMNLP Sheng Zhang, Xutai Ma, Rachel Rudinger, Kevin Duh, Benjamin Van Durme
2018	J	`jnl`	Cross-lingual Semantic Parsing. CoRR Sheng Zhang, Kevin Duh, Benjamin Van Durme
2018	—	`conf`	Fine-grained Entity Typing through Increased Discourse Context and Adaptive Classification Thresholds. *SEM@NAACL-HLT Sheng Zhang, Kevin Duh, Benjamin Van Durme
2018	J	`jnl`	Fine-grained Entity Typing through Increased Discourse Context and Adaptive Classification Thresholds. CoRR Sheng Zhang, Kevin Duh, Benjamin Van Durme
2018	—	`conf`	Halo: Learning Semantics-Aware Representations for Cross-Lingual Information Extraction. *SEM@NAACL-HLT Hongyuan Mei, Sheng Zhang, Kevin Duh, Benjamin Van Durme
2018	J	`jnl`	Halo: Learning Semantics-Aware Representations for Cross-Lingual Information Extraction. CoRR Hongyuan Mei, Sheng Zhang, Kevin Duh, Benjamin Van Durme
2018	J	`jnl`	Neural Davidsonian Semantic Proto-role Labeling. CoRR Rachel Rudinger, Adam R. Teichert, Ryan Culkin, Sheng Zhang, Benjamin Van Durme
2018	A*	`conf`	Neural-Davidsonian Semantic Proto-role Labeling. EMNLP Rachel Rudinger, Adam R. Teichert, Ryan Culkin, Sheng Zhang, Benjamin Van Durme
2018	J	`jnl`	ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension. CoRR Sheng Zhang, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Kevin Duh, Benjamin Van Durme
2017	—	`conf`	An Evaluation of PredPatt and Open IE via Stage 1 Semantic Role Labeling. IWCS(2) Sheng Zhang, Rachel Rudinger, Benjamin Van Durme
2017	J	`jnl`	Deep Generalized Canonical Correlation Analysis. CoRR Adrian Benton, Huda Khayrallah, Biman Gujral, Dee Ann Reisinger, Sheng Zhang, Raman Arora
2017	—	`conf`	MT/IE: Cross-lingual Open Information Extraction with Neural Sequence-to-Sequence Models. EACL (2) Sheng Zhang, Kevin Duh, Benjamin Van Durme
2017	J	`jnl`	Ordinal Common-sense Inference. Trans. Assoc. Comput. Linguistics Sheng Zhang, Rachel Rudinger, Kevin Duh, Benjamin Van Durme
2017	—	`conf`	Selective Decoding for Cross-lingual Open Information Extraction. IJCNLP(1) Sheng Zhang, Kevin Duh, Benjamin Van Durme
2016	J	`jnl`	Ordinal Common-sense Inference. CoRR Sheng Zhang, Rachel Rudinger, Kevin Duh, Benjamin Van Durme
2016	A*	`conf`	Universal Decompositional Semantics on Universal Dependencies. EMNLP Aaron Steven White, Dee Ann Reisinger, Keisuke Sakaguchi, Tim Vieira, Sheng Zhang, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme
2015	—	`conf`	Semantic Interpretation of Superlative Expressions via Structured Knowledge Bases. ACL (2) Sheng Zhang, Yansong Feng, Songfang Huang, Kun Xu, Zhe Han, Dongyan Zhao
2015	A*	`conf`	What Is the Longest River in the USA? Semantic Parsing for Aggregation Questions. AAAI Kun Xu, Sheng Zhang, Yansong Feng, Songfang Huang, Dongyan Zhao
2014	—	`conf`	Answering Natural Language Questions via Phrasal Semantic Parsing. NLPCC Kun Xu, Sheng Zhang, Yansong Feng, Dongyan Zhao