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Tao Yu 0009
Person information

- unicode name: 余涛
- affiliation: University of Hong Kong, Department of Computer Science , Hong Kong
- affiliation: University of Washington, Paul G. Allen School of Computer Science & Engineering, Seattle, WA, USA
- affiliation (PhD): Yale University, Department of Computer Science, New Haven, CT, USA
Other persons with the same name
- Tao Yu (aka: Yu Tao) — disambiguation page
- Tao Yu 0001 — Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China (and 1 more)
- Tao Yu 0002
— South China University of Technology, School of Electric Power, Guangzhou, China (and 1 more)
- Tao Yu 0003
— Jinggangshan University, School of Mathematics and Physics, Ji'an, China
- Tao Yu 0004
— Southwest Jiaotong University, School of Electrical Engineering, Chengdu, China
- Tao Yu 0005
— Tennessee Technological University, Department of Chemistry, Cookeville, TN, USA (and 3 more)
- Tao Yu 0006 — Massachusetts Institute of Technology, Cambridge, USA
- Tao Yu 0007
— Tsinghua University, Department of Automation, Beijing, China
- Tao Yu 0008
— Shanghai University, Key laboratory of Specialty Fiber Optics and Optical Access Networks, China
- Tao Yu 0011
(aka: Yu Tao 0011) — Tokyo Institute of Technology, Department of Electrical and Electronic Engineering, Meguro City, Japan
- Tao Yu 0012
— University of Science and Technology of China, Department of Electronic Engineer and Information Science, Hefei, China
- Tao Yu 0013
— Chinese Academy of Sciences, Institute of Automation, Beijing, China
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2020 – today
- 2023
- [c26]Hongjin Su, Weijia Shi, Jungo Kasai, Yizhong Wang, Yushi Hu, Mari Ostendorf, Wen-tau Yih, Noah A. Smith, Luke Zettlemoyer, Tao Yu:
One Embedder, Any Task: Instruction-Finetuned Text Embeddings. ACL (Findings) 2023: 1102-1121 - [c25]Wenting Zhao, Mor Geva, Bill Yuchen Lin, Michihiro Yasunaga, Aman Madaan, Tao Yu:
Complex Reasoning in Natural Languag. ACL (tutorial) 2023: 11-20 - [c24]Zhoujun Cheng, Jungo Kasai, Tao Yu:
Batch Prompting: Efficient Inference with Large Language Model APIs. EMNLP (Industry Track) 2023: 792-810 - [c23]Zhoujun Cheng, Tianbao Xie, Peng Shi, Chengzu Li, Rahul Nadkarni, Yushi Hu, Caiming Xiong, Dragomir Radev, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu:
Binding Language Models in Symbolic Languages. ICLR 2023 - [c22]Hongjin Su, Jungo Kasai, Chen Henry Wu, Weijia Shi, Tianlu Wang, Jiayi Xin, Rui Zhang, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu:
Selective Annotation Makes Language Models Better Few-Shot Learners. ICLR 2023 - [c21]Jiacheng Ye, Zhiyong Wu, Jiangtao Feng, Tao Yu, Lingpeng Kong:
Compositional Exemplars for In-context Learning. ICML 2023: 39818-39833 - [c20]Lianghao Xia
, Chao Huang
, Chunzhen Huang
, Kangyi Lin
, Tao Yu
, Ben Kao
:
Automated Self-Supervised Learning for Recommendation. WWW 2023: 992-1002 - [i38]Zhoujun Cheng, Jungo Kasai, Tao Yu:
Batch Prompting: Efficient Inference with Large Language Model APIs. CoRR abs/2301.08721 (2023) - [i37]Jiacheng Ye, Zhiyong Wu, Jiangtao Feng, Tao Yu, Lingpeng Kong:
Compositional Exemplars for In-context Learning. CoRR abs/2302.05698 (2023) - [i36]Jiacheng Ye, Chengzu Li, Lingpeng Kong, Tao Yu:
Generating Data for Symbolic Language with Large Language Models. CoRR abs/2305.13917 (2023) - [i35]Bo-Ru Lu, Nikita Haduong, Chia-Hsuan Lee, Zeqiu Wu, Hao Cheng, Paul Koester, Jean Utke, Tao Yu, Noah A. Smith, Mari Ostendorf:
DIALGEN: Collaborative Human-LM Generated Dialogues for Improved Understanding of Human-Human Conversations. CoRR abs/2307.07047 (2023) - [i34]Tianbao Xie, Siheng Zhao, Chen Henry Wu, Yitao Liu, Qian Luo, Victor Zhong, Yanchao Yang, Tao Yu:
Text2Reward: Automated Dense Reward Function Generation for Reinforcement Learning. CoRR abs/2309.11489 (2023) - [i33]Yiheng Xu, Hongjin Su, Chen Xing, Boyu Mi, Qian Liu, Weijia Shi, Binyuan Hui, Fan Zhou, Yitao Liu, Tianbao Xie, Zhoujun Cheng, Siheng Zhao, Lingpeng Kong, Bailin Wang, Caiming Xiong, Tao Yu:
Lemur: Harmonizing Natural Language and Code for Language Agents. CoRR abs/2310.06830 (2023) - [i32]Tianbao Xie, Fan Zhou, Zhoujun Cheng, Peng Shi, Luoxuan Weng, Yitao Liu, Toh Jing Hua, Junning Zhao, Qian Liu, Che Liu, Leo Z. Liu, Yiheng Xu, Hongjin Su, Dongchan Shin, Caiming Xiong, Tao Yu:
OpenAgents: An Open Platform for Language Agents in the Wild. CoRR abs/2310.10634 (2023) - 2022
- [c19]Ziming Mao, Chen Henry Wu, Ansong Ni, Yusen Zhang, Rui Zhang, Tao Yu, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir R. Radev:
DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization. ACL (1) 2022: 1687-1698 - [c18]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:
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. EMNLP 2022: 602-631 - [c17]Yushi Hu, Chia-Hsuan Lee, Tianbao Xie, Tao Yu, Noah A. Smith, Mari Ostendorf:
In-Context Learning for Few-Shot Dialogue State Tracking. EMNLP (Findings) 2022: 2627-2643 - [c16]Jiacheng Ye, Jiahui Gao, Zhiyong Wu, Jiangtao Feng, Tao Yu, Lingpeng Kong:
ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback. EMNLP (Findings) 2022: 3671-3683 - [c15]Jiacheng Ye, Jiahui Gao, Qintong Li, Hang Xu, Jiangtao Feng, Zhiyong Wu, Tao Yu, Lingpeng Kong:
ZeroGen: Efficient Zero-shot Learning via Dataset Generation. EMNLP 2022: 11653-11669 - [i31]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 R. Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu:
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. CoRR abs/2201.05966 (2022) - [i30]Jiacheng Ye, Jiahui Gao, Qintong Li, Hang Xu, Jiangtao Feng, Zhiyong Wu, Tao Yu, Lingpeng Kong:
ZeroGen: Efficient Zero-shot Learning via Dataset Generation. CoRR abs/2202.07922 (2022) - [i29]Yushi Hu, Chia-Hsuan Lee, Tianbao Xie, Tao Yu, Noah A. Smith, Mari Ostendorf:
In-Context Learning for Few-Shot Dialogue State Tracking. CoRR abs/2203.08568 (2022) - [i28]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:
FOLIO: Natural Language Reasoning with First-Order Logic. CoRR abs/2209.00840 (2022) - [i27]Hongjin Su, Jungo Kasai, Chen Henry Wu, Weijia Shi, Tianlu Wang, Jiayi Xin, Rui Zhang, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu:
Selective Annotation Makes Language Models Better Few-Shot Learners. CoRR abs/2209.01975 (2022) - [i26]Yiru Chen, Ryan Li, Austin Mac, Tianbao Xie, Tao Yu, Eugene Wu:
NL2INTERFACE: Interactive Visualization Interface Generation from Natural Language Queries. CoRR abs/2209.08834 (2022) - [i25]Zhoujun Cheng, Tianbao Xie, Peng Shi, Chengzu Li, Rahul Nadkarni, Yushi Hu, Caiming Xiong, Dragomir Radev, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu:
Binding Language Models in Symbolic Languages. CoRR abs/2210.02875 (2022) - [i24]Jiacheng Ye, Jiahui Gao, Jiangtao Feng, Zhiyong Wu, Tao Yu, Lingpeng Kong:
ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback. CoRR abs/2210.12329 (2022) - [i23]Yuhang Lai, Chengxi Li, Yiming Wang, Tianyi Zhang, Ruiqi Zhong, Luke Zettlemoyer, Scott Wen-tau Yih, Daniel Fried, Sida I. Wang, Tao Yu:
DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation. CoRR abs/2211.11501 (2022) - [i22]Tianyi Zhang, Tao Yu, Tatsunori B. Hashimoto, Mike Lewis, Wen-tau Yih, Daniel Fried, Sida I. Wang:
Coder Reviewer Reranking for Code Generation. CoRR abs/2211.16490 (2022) - [i21]Fang Wu, Tao Yu, Dragomir Radev, Jinbo Xu:
When Geometric Deep Learning Meets Pretrained Protein Language Models. CoRR abs/2212.03447 (2022) - [i20]Hongjin Su, Weijia Shi, Jungo Kasai, Yizhong Wang, Yushi Hu, Mari Ostendorf, Wen-tau Yih, Noah A. Smith, Luke Zettlemoyer, Tao Yu:
One Embedder, Any Task: Instruction-Finetuned Text Embeddings. CoRR abs/2212.09741 (2022) - 2021
- [c14]Chang Shu, Yusen Zhang, Xiangyu Dong, Peng Shi, Tao Yu, Rui Zhang:
Logic-Consistency Text Generation from Semantic Parses. ACL/IJCNLP (Findings) 2021: 4414-4426 - [c13]Ansong Ni, Zhangir Azerbayev, Mutethia Mutuma, Troy Feng, Yusen Zhang, Tao Yu, Ahmed Hassan Awadallah, Dragomir R. Radev:
SummerTime: Text Summarization Toolkit for Non-experts. EMNLP (Demos) 2021: 329-338 - [c12]Yusen Zhang, Ansong Ni, Tao Yu, Rui Zhang, Chenguang Zhu, Budhaditya Deb, Asli Celikyilmaz, Ahmed Hassan Awadallah, Dragomir R. Radev:
An Exploratory Study on Long Dialogue Summarization: What Works and What's Next. EMNLP (Findings) 2021: 4426-4433 - [c11]Tao Yu, Chien-Sheng Wu, Xi Victoria Lin, Bailin Wang, Yi Chern Tan, Xinyi Yang, Dragomir R. Radev, Richard Socher, Caiming Xiong:
GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing. ICLR 2021 - [c10]Tao Yu, Rui Zhang, Alex Polozov, Christopher Meek, Ahmed Hassan Awadallah:
SCoRe: Pre-Training for Context Representation in Conversational Semantic Parsing. ICLR 2021 - [c9]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:
DART: Open-Domain Structured Data Record to Text Generation. NAACL-HLT 2021: 432-447 - [c8]Ming Zhong, Da Yin, Tao Yu, Ahmad Zaidi, Mutethia Mutuma, Rahul Jha, Ahmed Hassan Awadallah, Asli Celikyilmaz, Yang Liu, Xipeng Qiu, Dragomir R. Radev:
QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization. NAACL-HLT 2021: 5905-5921 - [i19]Ming Zhong, Da Yin, Tao Yu
, Ahmad Zaidi, Mutethia Mutuma, Rahul Jha, Ahmed Hassan Awadallah, Asli Celikyilmaz, Yang Liu, Xipeng Qiu, Dragomir R. Radev:
QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization. CoRR abs/2104.05938 (2021) - [i18]Chang Shu, Yusen Zhang, Xiangyu Dong, Peng Shi, Tao Yu
, Rui Zhang:
Logic-Consistency Text Generation from Semantic Parses. CoRR abs/2108.00577 (2021) - [i17]Ansong Ni, Zhangir Azerbayev, Mutethia Mutuma, Troy Feng, Yusen Zhang, Tao Yu
, Ahmed Hassan Awadallah, Dragomir R. Radev:
SummerTime: Text Summarization Toolkit for Non-experts. CoRR abs/2108.12738 (2021) - [i16]Yusen Zhang, Ansong Ni, Tao Yu
, Rui Zhang, Chenguang Zhu, Budhaditya Deb, Asli Celikyilmaz, Ahmed Hassan Awadallah, Dragomir R. Radev:
An Exploratory Study on Long Dialogue Summarization: What Works and What's Next. CoRR abs/2109.04609 (2021) - [i15]Naihao Deng, Shuaichen Chang, Peng Shi, Tao Yu, Rui Zhang:
Prefix-to-SQL: Text-to-SQL Generation from Incomplete User Questions. CoRR abs/2109.13066 (2021) - [i14]Ziming Mao, Chen Henry Wu, Ansong Ni, Yusen Zhang, Rui Zhang, Tao Yu, Budhaditya Deb, Chenguang Zhu, Ahmed Hassan Awadallah, Dragomir R. Radev:
DYLE: Dynamic Latent Extraction for Abstractive Long-Input Summarization. CoRR abs/2110.08168 (2021) - 2020
- [c7]Ruiqi Zhong, Tao Yu, Dan Klein:
Semantic Evaluation for Text-to-SQL with Distilled Test Suites. EMNLP (1) 2020: 396-411 - [i13]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:
DART: Open-Domain Structured Data Record to Text Generation. CoRR abs/2007.02871 (2020) - [i12]Tao Yu
, Chien-Sheng Wu, Xi Victoria Lin, Bailin Wang, Yi Chern Tan, Xinyi Yang, Dragomir R. Radev, Richard Socher, Caiming Xiong:
GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing. CoRR abs/2009.13845 (2020) - [i11]Ruiqi Zhong, Tao Yu
, Dan Klein:
Semantic Evaluation for Text-to-SQL with Distilled Test Suites. CoRR abs/2010.02840 (2020) - [i10]Yusen Zhang, Xiangyu Dong, Shuaichen Chang, Tao Yu
, Peng Shi, Rui Zhang:
Did You Ask a Good Question? A Cross-Domain Question Intention Classification Benchmark for Text-to-SQL. CoRR abs/2010.12634 (2020)
2010 – 2019
- 2019
- [c6]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:
SParC: Cross-Domain Semantic Parsing in Context. ACL (1) 2019: 4511-4523 - [c5]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:
CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases. EMNLP/IJCNLP (1) 2019: 1962-1979 - [c4]Rui Zhang, Tao Yu, Heyang Er, Sungrok Shim, Eric Xue
, Xi Victoria Lin, Tianze Shi, Caiming Xiong, Richard Socher, Dragomir R. Radev:
Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions. EMNLP/IJCNLP (1) 2019: 5337-5348 - [i9]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:
SParC: Cross-Domain Semantic Parsing in Context. CoRR abs/1906.02285 (2019) - [i8]Rui Zhang, Tao Yu
, Heyang Er, Sungrok Shim, Eric Xue, Xi Victoria Lin, Tianze Shi, Caiming Xiong, Richard Socher, Dragomir R. Radev:
Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions. CoRR abs/1909.00786 (2019) - [i7]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:
CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases. CoRR abs/1909.05378 (2019) - 2018
- [c3]Tao Yu, Michihiro Yasunaga, Kai Yang, Rui Zhang, Dongxu Wang, Zifan Li, Dragomir R. Radev:
SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-Domain Text-to-SQL Task. EMNLP 2018: 1653-1663 - [c2]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:
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task. EMNLP 2018: 3911-3921 - [c1]Tao Yu, Zifan Li, Zilin Zhang, Rui Zhang, Dragomir R. Radev:
TypeSQL: Knowledge-Based Type-Aware Neural Text-to-SQL Generation. NAACL-HLT (2) 2018: 588-594 - [i6]Tao Yu
, Zifan Li, Zilin Zhang, Rui Zhang, Dragomir R. Radev:
TypeSQL: Knowledge-based Type-Aware Neural Text-to-SQL Generation. CoRR abs/1804.09769 (2018) - [i5]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:
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task. CoRR abs/1809.08887 (2018) - [i4]Tao Yu
, Michihiro Yasunaga, Kai Yang, Rui Zhang, Dongxu Wang, Zifan Li, Dragomir R. Radev:
SyntaxSQLNet: Syntax Tree Networks for Complex and Cross-DomainText-to-SQL Task. CoRR abs/1810.05237 (2018) - 2017
- [i3]Owen Rambow, Mohamed Al-Badrashiny, Axinia Radeva, Sardar Hamidian, Tao Yu, Tianrui Peng, Christopher Hidey, Smaranda Muresan, Mona T. Diab, Kathleen R. McKeown:
The Columbia-GWU System at the 2017 TAC KBP BeSt Evaluation. TAC 2017 - [i2]Tao Yu, Christopher Hidey, Owen Rambow, Kathleen R. McKeown:
Leveraging Sparse and Dense Feature Combinations for Sentiment Classification. CoRR abs/1708.03940 (2017) - 2016
- [i1]Owen Rambow, Tao Yu, Axinia Radeva, Alexander R. Fabbri, Christopher Hidey, Tianrui Peng, Kathleen R. McKeown, Smaranda Muresan, Sardar Hamidian, Mona T. Diab, Debanjan Ghosh:
The Columbia-GWU System at the 2016 TAC KBP BeSt Evaluation. TAC 2016
Coauthor Index

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