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Tao Yu
Tao Yu
Assistant Professor, Computer Science, University of Hong Kong
Verified email at cs.hku.hk - Homepage
Title
Cited by
Cited by
Year
Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-sql task
T Yu, R Zhang, K Yang, M Yasunaga, D Wang, Z Li, J Ma, I Li, Q Yao, ...
EMNLP 2018, 2018
8952018
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ...
Transactions on Machine Learning Research, 2022
811*2022
Typesql: Knowledge-based type-aware neural text-to-sql generation
T Yu, Z Li, Z Zhang, R Zhang, D Radev
NAACL 2018, 2018
2692018
Unifiedskg: Unifying and multi-tasking structured knowledge grounding with text-to-text language models
T Xie, CH Wu, P Shi, R Zhong, T Scholak, M Yasunaga, CS Wu, M Zhong, ...
EMNLP 2022, 2022
239*2022
SyntaxSQLNet: Syntax Tree Networks for Complex and Cross Domain Text-to-SQL Task
T Yu, M Yasunaga, K Yang, R Zhang, D Wang, Z Li, D Radev
EMNLP 2018, 2018
2112018
GraPPa: grammar-augmented pre-training for table semantic parsing
T Yu, CS Wu, XV Lin, B Wang, YC Tan, X Yang, D Radev, R Socher, ...
ICLR 2021, 2021
210*2021
QMSum: A new benchmark for query-based multi-domain meeting summarization
M Zhong, D Yin, T Yu, A Zaidi, M Mutuma, R Jha, AH Awadallah, ...
NAACL 2021, 2021
2062021
SParC: cross-domain semantic parsing in context
T Yu, R Zhang, M Yasunaga, YC Tan, XV Lin, S Li, H Er, I Li, B Pang, ...
ACL 2019, 2019
176*2019
Dart: Open-domain structured data record to text generation
L Nan, D Radev, R Zhang, A Rau, A Sivaprasad, C Hsieh, X Tang, A Vyas, ...
NAACL 2021, 2020
162*2020
Twitter sentiment in New York City parks as measure of well-being
RA Plunz, Y Zhou, MIC Vintimilla, K Mckeown, T Yu, L Uguccioni, ...
Landscape and urban planning 189, 235-246, 2019
1582019
Editing-based SQL query generation for cross-domain context-dependent questions
R Zhang, T Yu, HY Er, S Shim, E Xue, XV Lin, T Shi, C Xiong, R Socher, ...
EMNLP 2019, 2019
153*2019
Selective annotation makes language models better few-shot learners
H Su, J Kasai, CH Wu, W Shi, T Wang, J Xin, R Zhang, M Ostendorf, ...
ICLR 2023, 2023
143*2023
One embedder, any task: Instruction-finetuned text embeddings
H Su, J Kasai, Y Wang, Y Hu, M Ostendorf, W Yih, NA Smith, ...
ACL 2023, 2023
1212023
Binding language models in symbolic languages
Z Cheng, T Xie, P Shi, C Li, R Nadkarni, Y Hu, C Xiong, D Radev, ...
ICLR 2023, 2023
1062023
Zerogen: Efficient zero-shot learning via dataset generation
J Ye, J Gao, Q Li, H Xu, J Feng, Z Wu, T Yu, L Kong
EMNLP 2022, 2022
1032022
DS-1000: A Natural and Reliable Benchmark for Data Science Code Generation
Y Lai, C Li, Y Wang, T Zhang, R Zhong, L Zettlemoyer, SW Yih, D Fried, ...
ICML 2023, 2023
932023
In-Context Learning for Few-Shot Dialogue State Tracking
Y Hu, CH Lee, T Xie, T Yu, NA Smith, M Ostendorf
EMNLP Findings 2022, 2022
932022
Cosql: A conversational text-to-sql challenge towards cross-domain natural language interfaces to databases
T Yu, R Zhang, HY Er, S Li, E Xue, B Pang, XV Lin, YC Tan, T Shi, Z Li, ...
EMNLP 2019, 2019
812019
Semantic evaluation for text-to-SQL with distilled test suites
R Zhong, T Yu, D Klein
EMNLP 2020, 2020
802020
Folio: Natural language reasoning with first-order logic
S Han, H Schoelkopf, Y Zhao, Z Qi, M Riddell, L Benson, L Sun, E Zubova, ...
arXiv preprint arXiv:2209.00840, 2022
75*2022
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