A Unified Pipeline for Meaning Representation Parsing via Efficient Training and Effective Encoding W Che, L Dou, Y Xu, Y Wang, Y Liu, T Liu CoNLL2019, 2019 | 40* | 2019 |
Data2text Studio: Automated Text Generation from Structured Data L Dou, G Qin, J Wang, JG Yao, CY Lin EMNLP2018, 2018 | 22 | 2018 |
UniSAr: a unified structure-aware autoregressive language model for text-to-SQL semantic parsing L Dou, Y Gao, M Pan, D Wang, W Che, JG Lou, D Zhan International Journal of Machine Learning and Cybernetics 14 (12), 4361-4376, 2023 | 21* | 2023 |
From Zero to Hero: Examining the Power of Symbolic Tasks in Instruction Tuning Q Liu, F Zhou, Z Jiang, L Dou, M Lin arXiv preprint arXiv:2304.07995, 2023 | 10 | 2023 |
Towards Knowledge-Intensive Text-to-SQL Semantic Parsing with Formulaic Knowledge L Dou, Y Gao, X Liu, M Pan, D Wang, W Che, MY Kan, D Zhan, JG Lou EMNLP2022, 2022 | 10 | 2022 |
MultiSpider: Towards Benchmarking Multilingual Text-to-SQL Semantic Parsing L Dou, Y Gao, M Pan, D Wang, W Che, D Zhan, JG Lou AAAI2023, 2023 | 9 | 2023 |
Transition-based Parser and Iterative Inference Parser L Dou, Y Feng, Y Ji, W Che, T Liu CoNLL2020, 2020 | 9* | 2020 |
A survey on table-and-text hybridqa: Concepts, methods, challenges and future directions D Wang, L Dou, W Che arXiv preprint arXiv:2212.13465, 2022 | 7 | 2022 |
Exploring Equation as a Better Intermediate Meaning Representation for Numerical Reasoning of Large Language Models D Wang, L Dou, W Zhang, J Zeng, W Che AAAI2024, 2024 | 5* | 2024 |
A Survey of Table Reasoning with Large Language Models X Zhang, D Wang, L Dou, Q Zhu, W Che arXiv preprint arXiv:2402.08259, 2024 | 4 | 2024 |
Sailor: Open Language Models for South-East Asia L Dou, Q Liu, G Zeng, J Guo, J Zhou, W Lu, M Lin arXiv preprint arXiv:2404.03608, 2024 | 3 | 2024 |
Improving Demonstration Diversity by Human-Free Fusing for Text-to-SQL D Wang, L Dou, X Zhang, Q Zhu, W Che arXiv preprint arXiv:2402.10663, 2024 | 2 | 2024 |
Scaling Laws with Vocabulary: Larger Models Deserve Larger Vocabularies C Tao, Q Liu, L Dou, N Muennighoff, Z Wan, P Luo, M Lin, N Wong arXiv preprint arXiv:2407.13623, 2024 | 1 | 2024 |
ConDA: state-based data augmentation for context-dependent text-to-SQL D Wang, L Dou, W Che, J Wang, J Liu, L Li, J Shang, L Tao, J Zhang, ... International Journal of Machine Learning and Cybernetics, 1-12, 2024 | 1 | 2024 |
Enhancing Numerical Reasoning with the Guidance of Reliable Reasoning Processes D Wang, L Dou, X Zhang, Q Zhu, W Che ACL2024, 2024 | 1 | 2024 |
Multi-Hop Table Retrieval for Open-Domain Text-to-SQL X Zhang, D Wang, L Dou, Q Zhu, W Che arXiv preprint arXiv:2402.10666, 2024 | 1 | 2024 |
Mixpro: Simple yet effective data augmentation for prompt-based learning B Li, L Dou, Y Hou, Y Feng, H Mu, Q Zhu, Q Sun, W Che arXiv preprint arXiv:2304.09402, 2023 | 1 | 2023 |
FLEXTAF: Enhancing Table Reasoning with Flexible Tabular Formats X Zhang, D Wang, L Dou, B Wang, D Wu, Q Zhu, W Che arXiv preprint arXiv:2408.08841, 2024 | | 2024 |
DAC: Decomposed Automation Correction for Text-to-SQL D Wang, L Dou, X Zhang, Q Zhu, W Che arXiv preprint arXiv:2408.08779, 2024 | | 2024 |
RegMix: Data Mixture as Regression for Language Model Pre-training Q Liu, X Zheng, N Muennighoff, G Zeng, L Dou, T Pang, J Jiang, M Lin arXiv preprint arXiv:2407.01492, 2024 | | 2024 |