Rui Zhang
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Bloom: A 176b-parameter open-access multilingual language model
BS Workshop, TL Scao, A Fan, C Akiki, E Pavlick, S Ilić, D Hesslow, ...
arXiv preprint arXiv:2211.05100, 2022
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, ...
arXiv preprint arXiv:1809.08887, 2018
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, ...
arXiv preprint arXiv:2206.04615, 2022
Graph-based neural multi-document summarization
M Yasunaga, R Zhang, K Meelu, A Pareek, K Srinivasan, D Radev
arXiv preprint arXiv:1706.06681, 2017
Improving text-to-sql evaluation methodology
C Finegan-Dollak, JK Kummerfeld, L Zhang, K Ramanathan, ...
arXiv preprint arXiv:1806.09029, 2018
Typesql: Knowledge-based type-aware neural text-to-sql generation
T Yu, Z Li, Z Zhang, R Zhang, D Radev
arXiv preprint arXiv:1804.09769, 2018
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, ...
arXiv preprint arXiv:2201.05966, 2022
Syntaxsqlnet: Syntax tree networks for complex and cross-domaintext-to-sql task
T Yu, M Yasunaga, K Yang, R Zhang, D Wang, Z Li, D Radev
arXiv preprint arXiv:1810.05237, 2018
Scisummnet: A large annotated corpus and content-impact models for scientific paper summarization with citation networks
M Yasunaga, J Kasai, R Zhang, AR Fabbri, I Li, D Friedman, DR Radev
Proceedings of the AAAI conference on artificial intelligence 33 (01), 7386-7393, 2019
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, ...
arXiv preprint arXiv:1906.02285, 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, ...
arXiv preprint arXiv:2007.02871, 2020
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, ...
arXiv preprint arXiv:2209.01975, 2022
Dependency sensitive convolutional neural networks for modeling sentences and documents
R Zhang, H Lee, D Radev
arXiv preprint arXiv:1611.02361, 2016
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, ...
arXiv preprint arXiv:1909.00786, 2019
CONTaiNER: Few-shot named entity recognition via contrastive learning
SSS Das, A Katiyar, RJ Passonneau, R Zhang
arXiv preprint arXiv:2109.07589, 2021
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
Neural coreference resolution with deep biaffine attention by joint mention detection and mention clustering
R Zhang, CN Santos, M Yasunaga, B Xiang, D Radev
arXiv preprint arXiv:1805.04893, 2018
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, ...
arXiv preprint arXiv:1909.05378, 2019
Summ^ n: A multi-stage summarization framework for long input dialogues and documents
Y Zhang, A Ni, Z Mao, CH Wu, C Zhu, B Deb, AH Awadallah, D Radev, ...
arXiv preprint arXiv:2110.10150, 2021
This email could save your life: Introducing the task of email subject line generation
R Zhang, J Tetreault
arXiv preprint arXiv:1906.03497, 2019
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