default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSheng Zhang 0012
Person information
- affiliation: Microsoft Research, Redmond, WA, USA
- affiliation (PhD 2020): Johns Hopkins University, Baltimore, MD, USA
Other persons with the same name
- Sheng Zhang — disambiguation page
- Sheng Zhang 0001
![[0000-0002-6581-6399]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6581-6399")
— Nanjing University, State Key Laboratory for Novel Software Technology, Nanjing, China - Sheng Zhang 0002 — Bohai University, School of Mathematics and Physics, Jinzhou, China (and 1 more)
- Sheng Zhang 0003 — Tsinghua University, Key Laboratory of Advanced Sensor and Integrated System, Shenzhen, China
- Sheng Zhang 0004 — Dartmouth College, Hanover, NH, USA
- Sheng Zhang 0005 — Yale University School of Medicine, Department of Psychiatry, New Haven, CT, USA
- Sheng Zhang 0006 — Southwest Jiaotong University, School of Information Science and Technology, Chengdu, China (and 2 more)
- Sheng Zhang 0007 — Google, Menlo Park, CA. USA (and 2 more)
- Sheng Zhang 0008 — Broadcom Corporation, Santa Clara, CA, USA
- Sheng Zhang 0009 — University of Electronic Science and Technology of China, Chengdu, China
- Sheng Zhang 0010 — Zhejiang Normal University, Jinhua, China (and 1 more)
- Sheng Zhang 0011 — Nanchang Hangkong University, Nanchang, China
- Sheng Zhang 0013 — Wayne State Unviersity, Detroit, MI, USA
- Sheng Zhang 0014 — Academy of National Defense Information, Wuhan, China
- Sheng Zhang 0015 — Inner Mongolia Agricultural University, Hohhot, China
- Sheng Zhang 0016 — Chinese People's Liberation Army, Nanjing, Jiangsu, China
- Sheng Zhang 0017 — Nankai University, Tianjin, China
- Sheng Zhang 0018 — China University of Geosciences, Beijing, China
- Sheng Zhang 0019 — Nanjing University of Posts and Telecommunications, China
- Sheng Zhang 0021 — Zhejiang University, State Key Laboratory of Fluid Power and Mechatronic Systems, Hangzhou, China (and 3 more)
- Sheng Zhang 0022 — National University of Defense Technology, Changsha, China
- Sheng Zhang 0023 — Institute for Infocomm Research, Singapore (and 1 more)
- Sheng Zhang 0024 — South China University of Technology, School of Electronic and Information Engineering, Guangzhou, China
- Sheng Zhang 0025 — China Aerodynamics Research and Development Center, Computational Aerodynamics Institution, Mianyang, China
- Sheng Zhang 0026 — Wuhan University, Department of Artificial Intelligence and Automation, School of Electrical Engineering and Automation, China
- Sheng Zhang 0027 — North Carolina State University, Department of Statistics, Raleigh, NC, USA (and 1 more)
- Sheng Zhang 0028 — Chinese Academy of Sciences, High Magentic Field Laboratory, Hefei Institutes of Physical Science, China (and 1 more)
- Sheng Zhang 0029 — AWS AI Labs, New York, USA
- Sheng Zhang 0030 — Beijing Institute of Technology, School of Mechatronical Engineering, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
Journal Articles
- 2023
[j4]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:
Compositional Zero-Shot Domain Transfer with Text-to-Text Models. Trans. Assoc. Comput. Linguistics 11: 1097-1113 (2023)- 2022
- [j3]Renqian Luo, Liai Sun, Yingce Xia, Tao Qin, Sheng Zhang, Hoifung Poon, Tie-Yan Liu:
BioGPT: generative pre-trained transformer for biomedical text generation and mining. Briefings Bioinform. 23(6) (2022) - 2021
- [j2]Elias Stengel-Eskin, Kenton W. Murray, Sheng Zhang, Aaron Steven White, Benjamin Van Durme:
Joint Universal Syntactic and Semantic Parsing. Trans. Assoc. Comput. Linguistics 9: 756-773 (2021) - 2017
- [j1]Sheng Zhang, Rachel Rudinger, Kevin Duh, Benjamin Van Durme:
Ordinal Common-sense Inference. Trans. Assoc. Comput. Linguistics 5: 379-395 (2017)
Conference and Workshop Papers
- 2025
- [c31]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, et al.:
MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding. ICLR 2025 - [c30]Nan Xu, Fei Wang, Sheng Zhang, Hoifung Poon, Muhao Chen:
From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning. NAACL (Long Papers) 2025: 3299-3324 - 2024
- [c29]Yiqing Xie, Sheng Zhang, Hao Cheng, Pengfei Liu, Zelalem Gero, Cliff Wong, Tristan Naumann, Hoifung Poon, Carolyn P. Rosé:
DocLens: Multi-aspect Fine-grained Medical Text Evaluation. ACL (1) 2024: 649-679 - [c28]Fei Wang, Wenxuan Zhou, James Y. Huang, Nan Xu, Sheng Zhang, Hoifung Poon, Muhao Chen:
mDPO: Conditional Preference Optimization for Multimodal Large Language Models. EMNLP 2024: 8078-8088 - [c27]Wenxuan Zhou, Sheng Zhang, Yu Gu, Muhao Chen, Hoifung Poon:
UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition. ICLR 2024 - 2023
- [c26]Wenxuan Zhou, Sheng Zhang, Tristan Naumann, Muhao Chen, Hoifung Poon:
Continual Contrastive Finetuning Improves Low-Resource Relation Extraction. ACL (1) 2023: 13249-13263 - [c25]Louis Blankemeier, Theodore Zhao, Robert Tinn, Sid Kiblawi, Yu Gu, Akshay Chaudhari, Hoifung Poon, Sheng Zhang, Mu Wei, Joseph Preston:
Interactive Span Recommendation for Biomedical Text. ClinicalNLP@ACL 2023: 373-384 - [c24]Wenxuan Zhou, Sheng Zhang, Hoifung Poon, Muhao Chen:
Context-faithful Prompting for Large Language Models. EMNLP (Findings) 2023: 14544-14556 - [c23]Sheng Zhang, Hao Cheng, Jianfeng Gao, Hoifung Poon:
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning. ICLR 2023 - [c22]Hoifung Poon, Tristan Naumann, Sheng Zhang, Javier González Hernández:
Precision Health in the Age of Large Language Models. KDD 2023: 5825-5826 - [c21]Cliff Wong, Sheng Zhang, Yu Gu, Christine Moung, Jacob Abel, Naoto Usuyama, Roshanthi Weerasinghe, Brian Piening, Tristan Naumann, Carlo Bifulco, Hoifung Poon:
Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology. MLHC 2023: 846-862 - [c20]Chunyuan Li, Cliff Wong, Sheng Zhang, Naoto Usuyama, Haotian Liu, Jianwei Yang, Tristan Naumann, Hoifung Poon, Jianfeng Gao:
LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day. NeurIPS 2023 - 2022
- [c19]Sheng Zhang, Hao Cheng, Shikhar Vashishth, Cliff Wong, Jinfeng Xiao, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon:
Knowledge-Rich Self-Supervision for Biomedical Entity Linking. EMNLP (Findings) 2022: 868-880 - 2021
- [c18]Sheng Zhang, Cliff Wong, Naoto Usuyama, Sarthak Jain, Tristan Naumann, Hoifung Poon:
Modular Self-Supervision for Document-Level Relation Extraction. EMNLP (1) 2021: 5291-5302 - 2020
- [c17]Elias Stengel-Eskin, Aaron Steven White, Sheng Zhang, Benjamin Van Durme:
Universal Decompositional Semantic Parsing. ACL 2020: 8427-8439 - [c16]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:
The Universal Decompositional Semantics Dataset and Decomp Toolkit. LREC 2020: 5698-5707 - 2019
- [c15]Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme:
AMR Parsing as Sequence-to-Graph Transduction. ACL (1) 2019: 80-94 - [c14]Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme:
Broad-Coverage Semantic Parsing as Transduction. EMNLP/IJCNLP (1) 2019: 3784-3796 - [c13]Shuohang Wang, Sheng Zhang, Yelong Shen, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Jing Jiang:
Unsupervised Deep Structured Semantic Models for Commonsense Reasoning. NAACL-HLT (1) 2019: 882-891 - [c12]Adrian Benton, Huda Khayrallah, Biman Gujral, Dee Ann Reisinger, Sheng Zhang, Raman Arora:
Deep Generalized Canonical Correlation Analysis. RepL4NLP@ACL 2019: 1-6 - 2018
- [c11]Rachel Rudinger, Adam R. Teichert, Ryan Culkin, Sheng Zhang, Benjamin Van Durme:
Neural-Davidsonian Semantic Proto-role Labeling. EMNLP 2018: 944-955 - [c10]Sheng Zhang, Xutai Ma, Rachel Rudinger, Kevin Duh, Benjamin Van Durme:
Cross-lingual Decompositional Semantic Parsing. EMNLP 2018: 1664-1675 - [c9]Hongyuan Mei, Sheng Zhang, Kevin Duh, Benjamin Van Durme:
Halo: Learning Semantics-Aware Representations for Cross-Lingual Information Extraction. *SEM@NAACL-HLT 2018: 142-147 - [c8]Sheng Zhang, Kevin Duh, Benjamin Van Durme:
Fine-grained Entity Typing through Increased Discourse Context and Adaptive Classification Thresholds. *SEM@NAACL-HLT 2018: 173-179 - 2017
- [c7]Sheng Zhang, Kevin Duh, Benjamin Van Durme:
MT/IE: Cross-lingual Open Information Extraction with Neural Sequence-to-Sequence Models. EACL (2) 2017: 64-70 - [c6]Sheng Zhang, Kevin Duh, Benjamin Van Durme:
Selective Decoding for Cross-lingual Open Information Extraction. IJCNLP(1) 2017: 832-842 - [c5]Sheng Zhang, Rachel Rudinger, Benjamin Van Durme:
An Evaluation of PredPatt and Open IE via Stage 1 Semantic Role Labeling. IWCS(2) 2017 - 2016
- [c4]Aaron Steven White, Dee Ann Reisinger, Keisuke Sakaguchi, Tim Vieira, Sheng Zhang, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme:
Universal Decompositional Semantics on Universal Dependencies. EMNLP 2016: 1713-1723 - 2015
- [c3]Kun Xu, Sheng Zhang, Yansong Feng, Songfang Huang, Dongyan Zhao:
What Is the Longest River in the USA? Semantic Parsing for Aggregation Questions. AAAI 2015: 4222-4223 - [c2]Sheng Zhang, Yansong Feng, Songfang Huang, Kun Xu, Zhe Han, Dongyan Zhao:
Semantic Interpretation of Superlative Expressions via Structured Knowledge Bases. ACL (2) 2015: 225-230 - 2014
- [c1]Kun Xu, Sheng Zhang, Yansong Feng, Dongyan Zhao:
Answering Natural Language Questions via Phrasal Semantic Parsing. NLPCC 2014: 333-344
Informal and Other Publications
- 2025
- [i44]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:
Universal Abstraction: Harnessing Frontier Models to Structure Real-World Data at Scale. CoRR abs/2502.00943 (2025) - [i43]Sheng Zhang, Qianchu Liu, Guanghui Qin, Tristan Naumann, Hoifung Poon:
Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning. CoRR abs/2502.19655 (2025) - [i42]Bangzheng Li, Fei Wang, Wenxuan Zhou, Nan Xu, Ben Zhou, Sheng Zhang, Hoifung Poon, Muhao Chen:
Semantic-Clipping: Efficient Vision-Language Modeling with Semantic-Guidedd Visual Selection. CoRR abs/2503.11794 (2025) - [i41]Qin Liu, Wenxuan Zhou, Nan Xu, James Y. Huang, Fei Wang, Sheng Zhang, Hoifung Poon, Muhao Chen:
MetaScale: Test-Time Scaling with Evolving Meta-Thoughts. CoRR abs/2503.13447 (2025) - [i40]Qianchu Liu, Sheng Zhang, Guanghui Qin, Timothy Ossowski, Yu Gu, Ying Jin, Sid Kiblawi, Sam Preston, Mu Wei, Paul Vozila, Tristan Naumann, Hoifung Poon:
X-Reasoner: Towards Generalizable Reasoning Across Modalities and Domains. CoRR abs/2505.03981 (2025) - 2024
- [i39]Yifeng Liu, Hanwen Xu, Tangqi Fang, Haocheng Xi, Zixuan Liu, Sheng Zhang, Hoifung Poon, Sheng Wang:
T-Rex: Text-assisted Retrosynthesis Prediction. CoRR abs/2401.14637 (2024) - [i38]Zelalem Gero, Chandan Singh, Yiqing Xie, Sheng Zhang, Tristan Naumann, Jianfeng Gao, Hoifung Poon:
Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries. CoRR abs/2403.01002 (2024) - [i37]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:
Training Small Multimodal Models to Bridge Biomedical Competency Gap: A Case Study in Radiology Imaging. CoRR abs/2403.08002 (2024) - [i36]James Y. Huang, Wenxuan Zhou, Fei Wang, Fred Morstatter, Sheng Zhang, Hoifung Poon, Muhao Chen:
Offset Unlearning for Large Language Models. CoRR abs/2404.11045 (2024) - [i35]Robert Osazuwa Ness, Katie Matton, Hayden S. Helm, Sheng Zhang, Junaid Bajwa, Carey E. Priebe, Eric Horvitz:
MedFuzz: Exploring the Robustness of Large Language Models in Medical Question Answering. CoRR abs/2406.06573 (2024) - [i34]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:
MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding. CoRR abs/2406.09411 (2024) - [i33]Fei Wang, Wenxuan Zhou, James Y. Huang, Nan Xu, Sheng Zhang, Hoifung Poon, Muhao Chen:
mDPO: Conditional Preference Optimization for Multimodal Large Language Models. CoRR abs/2406.11839 (2024) - [i32]Nan Xu, Fei Wang, Sheng Zhang, Hoifung Poon, Muhao Chen:
From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning. CoRR abs/2407.00902 (2024) - [i31]Harsha Nori, Naoto Usuyama, Nicholas King, Scott Mayer McKinney, Xavier Fernandes, Sheng Zhang, Eric Horvitz:
From Medprompt to o1: Exploration of Run-Time Strategies for Medical Challenge Problems and Beyond. CoRR abs/2411.03590 (2024) - 2023
- [i30]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:
Large-Scale Domain-Specific Pretraining for Biomedical Vision-Language Processing. CoRR abs/2303.00915 (2023) - [i29]Wenxuan Zhou, Sheng Zhang, Hoifung Poon, Muhao Chen:
Context-faithful Prompting for Large Language Models. CoRR abs/2303.11315 (2023) - [i28]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:
Compositional Zero-Shot Domain Transfer with Text-to-Text Models. CoRR abs/2303.13386 (2023) - [i27]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:
Benchmarking Diverse-Modal Entity Linking with Generative Models. CoRR abs/2305.17337 (2023) - [i26]Chunyuan Li, Cliff Wong, Sheng Zhang, Naoto Usuyama, Haotian Liu, Jianwei Yang, Tristan Naumann, Hoifung Poon, Jianfeng Gao:
LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day. CoRR abs/2306.00890 (2023) - [i25]Yu Gu, Sheng Zhang, Naoto Usuyama, Yonas Woldesenbet, Cliff Wong, Praneeth Sanapathi, Mu Wei, Naveen Valluri, Erika Strandberg, Tristan Naumann, Hoifung Poon:
Distilling Large Language Models for Biomedical Knowledge Extraction: A Case Study on Adverse Drug Events. CoRR abs/2307.06439 (2023) - [i24]Cliff Wong, Sheng Zhang, Yu Gu, Christine Moung, Jacob Abel, Naoto Usuyama, Roshanthi Weerasinghe, Brian Piening, Tristan Naumann, Carlo Bifulco, Hoifung Poon:
Scaling Clinical Trial Matching Using Large Language Models: A Case Study in Oncology. CoRR abs/2308.02180 (2023) - [i23]Wenxuan Zhou, Sheng Zhang, Yu Gu, Muhao Chen, Hoifung Poon:
UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition. CoRR abs/2308.03279 (2023) - [i22]Yu Gu, Jianwei Yang, Naoto Usuyama, Chunyuan Li, Sheng Zhang, Matthew P. Lungren, Jianfeng Gao, Hoifung Poon:
BiomedJourney: Counterfactual Biomedical Image Generation by Instruction-Learning from Multimodal Patient Journeys. CoRR abs/2310.10765 (2023) - [i21]Yiqing Xie, Sheng Zhang, Hao Cheng, Zelalem Gero, Cliff Wong, Tristan Naumann, Hoifung Poon:
Enhancing Medical Text Evaluation with GPT-4. CoRR abs/2311.09581 (2023) - [i20]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:
Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine. CoRR abs/2311.16452 (2023) - 2022
- [i19]Sheng Zhang, Hao Cheng, Jianfeng Gao, Hoifung Poon:
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning. CoRR abs/2208.14565 (2022) - [i18]Renqian Luo, Liai Sun, Yingce Xia, Tao Qin, Sheng Zhang, Hoifung Poon, Tie-Yan Liu:
BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining. CoRR abs/2210.10341 (2022) - [i17]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:
Importance of Synthesizing High-quality Data for Text-to-SQL Parsing. CoRR abs/2212.08785 (2022) - [i16]Wenxuan Zhou, Sheng Zhang, Tristan Naumann, Muhao Chen, Hoifung Poon:
Continual Contrastive Finetuning Improves Low-Resource Relation Extraction. CoRR abs/2212.10823 (2022) - 2021
- [i15]Elias Stengel-Eskin, Kenton W. Murray, Sheng Zhang, Aaron Steven White, Benjamin Van Durme:
Joint Universal Syntactic and Semantic Parsing. CoRR abs/2104.05696 (2021) - [i14]Sheng Zhang, Cliff Wong, Naoto Usuyama, Sarthak Jain, Tristan Naumann, Hoifung Poon:
Modular Self-Supervision for Document-Level Relation Extraction. CoRR abs/2109.05362 (2021) - [i13]Sheng Zhang, Hao Cheng, Shikhar Vashishth, Cliff Wong, Jinfeng Xiao, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon:
Knowledge-Rich Self-Supervised Entity Linking. CoRR abs/2112.07887 (2021) - 2019
- [i12]Shuohang Wang, Sheng Zhang, Yelong Shen, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Jing Jiang:
Unsupervised Deep Structured Semantic Models for Commonsense Reasoning. CoRR abs/1904.01938 (2019) - [i11]Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme:
AMR Parsing as Sequence-to-Graph Transduction. CoRR abs/1905.08704 (2019) - [i10]Sheng Zhang, Xutai Ma, Kevin Duh, Benjamin Van Durme:
Broad-Coverage Semantic Parsing as Transduction. CoRR abs/1909.02607 (2019) - [i9]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:
The Universal Decompositional Semantics Dataset and Decomp Toolkit. CoRR abs/1909.13851 (2019) - [i8]Elias Stengel-Eskin, Aaron Steven White, Sheng Zhang, Benjamin Van Durme:
Transductive Parsing for Universal Decompositional Semantics. CoRR abs/1910.10138 (2019) - 2018
- [i7]Rachel Rudinger, Adam R. Teichert, Ryan Culkin, Sheng Zhang, Benjamin Van Durme:
Neural Davidsonian Semantic Proto-role Labeling. CoRR abs/1804.07976 (2018) - [i6]Sheng Zhang, Kevin Duh, Benjamin Van Durme:
Fine-grained Entity Typing through Increased Discourse Context and Adaptive Classification Thresholds. CoRR abs/1804.08000 (2018) - [i5]Sheng Zhang, Kevin Duh, Benjamin Van Durme:
Cross-lingual Semantic Parsing. CoRR abs/1804.08037 (2018) - [i4]Hongyuan Mei, Sheng Zhang, Kevin Duh, Benjamin Van Durme:
Halo: Learning Semantics-Aware Representations for Cross-Lingual Information Extraction. CoRR abs/1805.08271 (2018) - [i3]Sheng Zhang, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Kevin Duh, Benjamin Van Durme:
ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension. CoRR abs/1810.12885 (2018) - 2017
- [i2]Adrian Benton, Huda Khayrallah, Biman Gujral, Dee Ann Reisinger, Sheng Zhang, Raman Arora:
Deep Generalized Canonical Correlation Analysis. CoRR abs/1702.02519 (2017) - 2016
- [i1]Sheng Zhang, Rachel Rudinger, Kevin Duh, Benjamin Van Durme:
Ordinal Common-sense Inference. CoRR abs/1611.00601 (2016)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-06-21 01:28 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
