Rui Zhang

According to our database, Rui Zhang authored at least 54 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MT-Ranker: Reference-free machine translation evaluation by inter-system ranking.

Ibraheem Muhammad Moosa, Rui Zhang, Wenpeng Yin

CoRR, 2024

2023

Fair Abstractive Summarization of Diverse Perspectives.

Yusen Zhang, Nan Zhang, Yixin Liu, Alexander R. Fabbri, Junru Liu, Ryo Kamoi, Xiaoxin Lu, Caiming Xiong, Jieyu Zhao, Dragomir Radev, Kathleen R. McKeown, Rui Zhang

CoRR, 2023

Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning.

Sarkar Snigdha Sarathi Das, Ranran Haoran Zhang, Peng Shi, Wenpeng Yin, Rui Zhang

CoRR, 2023

FaMeSumm: Investigating and Improving Faithfulness of Medical Summarization.

Nan Zhang, Yusen Zhang, Wu Guo, Prasenjit Mitra, Rui Zhang

CoRR, 2023

Exploring the Potential of Large Language Models in Generating Code-Tracing Questions for Introductory Programming Courses.

Aysa Xuemo Fan, Ranran Haoran Zhang, Luc Paquette, Rui Zhang

CoRR, 2023

Hermes: Unlocking Security Analysis of Cellular Network Protocols by Synthesizing Finite State Machines from Natural Language Specifications.

Abdullah Al Ishtiaq, Sarkar Snigdha Sarathi Das, Syed Md. Mukit Rashid, Ali Ranjbar, Kai Tu, Tianwei Wu, Zhezheng Song, Weixuan Wang, Mujtahid Akon, Rui Zhang, Syed Rafiul Hussain

CoRR, 2023

Selective Annotation Makes Language Models Better Few-Shot Learners.

Hongjin Su, Jungo Kasai, Chen Henry Wu, Weijia Shi, Tianlu Wang, Jiayi Xin, Rui Zhang, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

FaMeSumm: Investigating and Improving Faithfulness of Medical Summarization.

Nan Zhang, Yusen Zhang, Wu Guo, Prasenjit Mitra, Rui Zhang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Exploring the Potential of Large Language Models in Generating Code-Tracing Questions for Introductory Programming Courses.

Aysa Xuemo Fan, Haoran Zhang, Luc Paquette, Rui Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning.

Sarkar Snigdha Sarathi Das, Haoran Zhang, Peng Shi, Wenpeng Yin, Rui Zhang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

ConEntail: An Entailment-based Framework for Universal Zero and Few Shot Classification with Supervised Contrastive Pretraining.

Haoran Zhang, Aysa Xuemo Fan, Rui Zhang

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

XSemPLR: Cross-Lingual Semantic Parsing in Multiple Natural Languages and Meaning Representations.

Yusen Zhang, Jun Wang, Zhiguo Wang, Rui Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

FeTaQA: Free-form Table Question Answering.

Linyong Nan, Chiachun Hsieh, Ziming Mao, Xi Victoria Lin, Neha Verma, Rui Zhang, Wojciech Kryscinski, Hailey Schoelkopf, Riley Kong, Xiangru Tang, Mutethia Mutuma, Ben Rosand, Isabel Trindade, Renusree Bandaru, Jacob Cunningham, Caiming Xiong, Dragomir R. Radev

Trans. Assoc. Comput. Linguistics, 2022

MACSum: Controllable Summarization with Mixed Attributes.

Yusen Zhang, Yang Liu, Ziyi Yang, Yuwei Fang, Yulong Chen, Dragomir Radev, Chenguang Zhu, Michael Zeng, Rui Zhang

CoRR, 2022

FOLIO: Natural Language Reasoning with First-Order Logic.

Simeng Han, Hailey Schoelkopf, Yilun Zhao, Zhenting Qi, Martin Riddell, Luke Benson, Lucy Sun, Ekaterina Zubova, Yujie Qiao, Matthew Burtell, David Peng, Jonathan Fan, Yixin Liu, Brian Wong, Malcolm Sailor, Ansong Ni, Linyong Nan, Jungo Kasai, Tao Yu, Rui Zhang, Shafiq R. Joty, Alexander R. Fabbri, Wojciech Kryscinski, Xi Victoria Lin, Caiming Xiong, Dragomir Radev

CoRR, 2022

MIA 2022 Shared Task: Evaluating Cross-lingual Open-Retrieval Question Answering for 16 Diverse Languages.

Akari Asai, Shayne Longpre, Jungo Kasai, Chia-Hsuan Lee, Rui Zhang, Junjie Hu, Ikuya Yamada, Jonathan H. Clark, Eunsol Choi

CoRR, 2022

ReasTAP: Injecting Table Reasoning Skills During Pre-training via Synthetic Reasoning Examples.

Yilun Zhao, Linyong Nan, Zhenting Qi, Rui Zhang, Dragomir Radev

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models.

Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

XRICL: Cross-lingual Retrieval-Augmented In-Context Learning for Cross-lingual Text-to-SQL Semantic Parsing.

Peng Shi, Rui Zhang, He Bai, Jimmy Lin

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

MultiHiertt: Numerical Reasoning over Multi Hierarchical Tabular and Textual Data.

Yilun Zhao, Yunxiang Li, Chenying Li, Rui Zhang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization.

Ziming Mao, Chen Henry Wu, Ansong Ni, Yusen Zhang, Rui Zhang, Tao Yu, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir R. Radev

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning.

Sarkar Snigdha Sarathi Das, Arzoo Katiyar, Rebecca J. Passonneau, Rui Zhang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Summ$^N$: A Multi-Stage Summarization Framework for Long Input Dialogues and Documents.

Yusen Zhang, Ansong Ni, Ziming Mao, Chen Henry Wu, Chenguang Zhu, Budhaditya Deb, Ahmed Hassan Awadallah, Dragomir R. Radev, Rui Zhang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Prefix-to-SQL: Text-to-SQL Generation from Incomplete User Questions.

Naihao Deng, Shuaichen Chang, Peng Shi, Tao Yu, Rui Zhang

CoRR, 2021

Cross-Lingual Training with Dense Retrieval for Document Retrieval.

Peng Shi, Rui Zhang, He Bai, Jimmy Lin

CoRR, 2021

FeTaQA: Free-form Table Question Answering.

Linyong Nan, Chiachun Hsieh, Ziming Mao, Xi Victoria Lin, Neha Verma, Rui Zhang, Wojciech Kryscinski, Nick Schoelkopf, Riley Kong, Xiangru Tang, Murori Mutuma, Ben Rosand, Isabel Trindade, Renusree Bandaru, Jacob Cunningham, Caiming Xiong, Dragomir R. Radev

CoRR, 2021

Structured in Space, Randomized in Time: Leveraging Dropout in RNNs for Efficient Training.

Anup Sarma, Sonali Singh, Huaipan Jiang, Rui Zhang, Mahmut T. Kandemir, Chita R. Das

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DART: Open-Domain Structured Data Record to Text Generation.

Linyong Nan, Dragomir R. Radev, Rui Zhang, Amrit Rau, Abhinand Sivaprasad, Chiachun Hsieh, Xiangru Tang, Aadit Vyas, Neha Verma, Pranav Krishna, Yangxiaokang Liu, Nadia Irwanto, Jessica Pan, Faiaz Rahman, Ahmad Zaidi, Mutethia Mutuma, Yasin Tarabar, Ankit Gupta, Tao Yu, Yi Chern Tan, Xi Victoria Lin, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

SCoRe: Pre-Training for Context Representation in Conversational Semantic Parsing.

Tao Yu, Rui Zhang, Alex Polozov, Christopher Meek, Ahmed Hassan Awadallah

Proceedings of the 9th International Conference on Learning Representations, 2021

TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation.

Adaku Uchendu, Zeyu Ma, Thai Le, Rui Zhang, Dongwon Lee

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

An Exploratory Study on Long Dialogue Summarization: What Works and What's Next.

Yusen Zhang, Ansong Ni, Tao Yu, Rui Zhang, Chenguang Zhu, Budhaditya Deb, Asli Celikyilmaz, Ahmed Hassan Awadallah, Dragomir R. Radev

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Logic-Consistency Text Generation from Semantic Parses.

Chang Shu, Yusen Zhang, Xiangyu Dong, Peng Shi, Tao Yu, Rui Zhang

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Cross-language Sentence Selection via Data Augmentation and Rationale Training.

Yanda Chen, Chris Kedzie, Suraj Nair, Petra Galuscáková, Rui Zhang, Douglas W. Oard, Kathleen R. McKeown

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Did You Ask a Good Question? A Cross-Domain Question Intention Classification Benchmark for Text-to-SQL.

Yusen Zhang, Xiangyu Dong, Shuaichen Chang, Tao Yu, Peng Shi, Rui Zhang

CoRR, 2020

DART: Open-Domain Structured Data Record to Text Generation.

Dragomir R. Radev, Rui Zhang, Amrit Rau, Abhinand Sivaprasad, Chiachun Hsieh, Nazneen Fatema Rajani, Xiangru Tang, Aadit Vyas, Neha Verma, Pranav Krishna, Yangxiaokang Liu, Nadia Irwanto, Jessica Pan, Faiaz Rahman, Ahmad Zaidi, Murori Mutuma, Yasin Tarabar, Ankit Gupta, Tao Yu, Yi Chern Tan, Xi Victoria Lin, Caiming Xiong, Richard Socher

CoRR, 2020

MATERIALizing Cross-Language Information Retrieval: A Snapshot.

Petra Galuscáková, Douglas W. Oard, Joe Barrow, Suraj Nair, Han-Chin Shing, Elena Zotkina, Ramy Eskander, Rui Zhang

Proceedings of the workshop on Cross-Language Search and Summarization of Text and Speech, 2020

ESPRIT: Explaining Solutions to Physical Reasoning Tasks.

Nazneen Fatema Rajani, Rui Zhang, Yi Chern Tan, Stephan Zheng, Jeremy Weiss, Aadit Vyas, Abhijit Gupta, Caiming Xiong, Richard Socher, Dragomir R. Radev

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Surprise Languages: Rapid-Response Cross-Language IR.

Douglas W. Oard, Marine Carpuat, Petra Galuscáková, Joseph Barrow, Suraj Nair, Xing Niu, Han-Chin Shing, Weijia Xu, Elena Zotkina, Kathleen R. McKeown, Smaranda Muresan, Efsun Selin Kayi, Ramy Eskander, Chris Kedzie, Yan Virin, Dragomir R. Radev, Rui Zhang, Mark J. F. Gales, Anton Ragni, Kenneth Heafield

Proceedings of the 9th International Workshop on Evaluating Information Access co-located with the 14th NTCIR Conference on the Evaluation of Information Access Technologies (NTCIR 2019), 2019

Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions.

Rui Zhang, Tao Yu, Heyang Er, Sungrok Shim, Eric Xue, Xi Victoria Lin, Tianze Shi, Caiming Xiong, Richard Socher, Dragomir R. Radev

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases.

Tao Yu, Rui Zhang, Heyang Er, Suyi Li, Eric Xue, Bo Pang, Xi Victoria Lin, Yi Chern Tan, Tianze Shi, Zihan Li, Youxuan Jiang, Michihiro Yasunaga, Sungrok Shim, Tao Chen, Alexander R. Fabbri, Zifan Li, Luyao Chen, Yuwen Zhang, Shreya Dixit, Vincent Zhang, Caiming Xiong, Richard Socher, Walter S. Lasecki, Dragomir R. Radev

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations.

Rui Zhang, Caitlin Westerfield, Sungrok Shim, Garrett Bingham, Alexander R. Fabbri, William Hu, Neha Verma, Dragomir R. Radev

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

This Email Could Save Your Life: Introducing the Task of Email Subject Line Generation.

Rui Zhang, Joel R. Tetreault

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

SParC: Cross-Domain Semantic Parsing in Context.

Tao Yu, Rui Zhang, Michihiro Yasunaga, Yi Chern Tan, Xi Victoria Lin, Suyi Li, Heyang Er, Irene Li, Bo Pang, Tao Chen, Emily Ji, Shreya Dixit, David Proctor, Sungrok Shim, Jonathan Kraft, Vincent Zhang, Caiming Xiong, Richard Socher, Dragomir R. Radev

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

ScisummNet: A Large Annotated Corpus and Content-Impact Models for Scientific Paper Summarization with Citation Networks.

Michihiro Yasunaga, Jungo Kasai, Rui Zhang, Alexander R. Fabbri, Irene Li, Dan Friedman, Dragomir R. Radev

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-DomainText-to-SQL Task.

Tao Yu, Michihiro Yasunaga, Kai Yang, Rui Zhang, Dongxu Wang, Zifan Li, Dragomir R. Radev

CoRR, 2018

TypeSQL: Knowledge-Based Type-Aware Neural Text-to-SQL Generation.

Tao Yu, Zifan Li, Zilin Zhang, Rui Zhang, Dragomir R. Radev

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task.

Tao Yu, Rui Zhang, Kai Yang, Michihiro Yasunaga, Dongxu Wang, Zifan Li, James Ma, Irene Li, Qingning Yao, Shanelle Roman, Zilin Zhang, Dragomir R. Radev

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-Domain Text-to-SQL Task.

Tao Yu, Michihiro Yasunaga, Kai Yang, Rui Zhang, Dongxu Wang, Zifan Li, Dragomir R. Radev

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Neural Coreference Resolution with Deep Biaffine Attention by Joint Mention Detection and Mention Clustering.

Rui Zhang, Cícero Nogueira dos Santos, Michihiro Yasunaga, Bing Xiang, Dragomir R. Radev

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Improving Text-to-SQL Evaluation Methodology.

Catherine Finegan-Dollak, Jonathan K. Kummerfeld, Li Zhang, Karthik Ramanathan, Sesh Sadasivam, Rui Zhang, Dragomir R. Radev

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

Addressee and Response Selection in Multi-Party Conversations With Speaker Interaction RNNs.

Rui Zhang, Honglak Lee, Lazaros Polymenakos, Dragomir R. Radev

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Graph-based Neural Multi-Document Summarization.

Michihiro Yasunaga, Rui Zhang, Kshitijh Meelu, Ayush Pareek, Krishnan Srinivasan, Dragomir R. Radev

Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017

2016

Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents.

Rui Zhang, Honglak Lee, Dragomir R. Radev

Proceedings of the NAACL HLT 2016, 2016

Effects of Creativity and Cluster Tightness on Short Text Clustering Performance.

Catherine Finegan-Dollak, Reed Coke, Rui Zhang, Xiangyi Ye, Dragomir R. Radev

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016