| 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 Conference on Natural Language Learning (CoNLL 2019), 2019 | 41* | 2019 |
| 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 (JMLC) 14 (12 …, 2023 | 27* | 2023 |
| Data2text Studio: Automated Text Generation from Structured Data L Dou, G Qin, J Wang, JG Yao, CY Lin Empirical Methods in Natural Language Processing (EMNLP 2018, Demo), 2018 | 24 | 2018 |
| 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 Conference on Neural Information Processing Systems (NeurIPS 2024), 2024 | 23* | 2024 |
| MultiSpider: Towards Benchmarking Multilingual Text-to-SQL Semantic Parsing L Dou, Y Gao, M Pan, D Wang, W Che, D Zhan, JG Lou AAAI Conference on Artificial Intelligence (AAAI 2023), 2023 | 17 | 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 | 13 | 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 Empirical Methods in Natural Language Processing (EMNLP 2022), 2022 | 11 | 2022 |
| 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 International Conference on Learning Representations (ICLR 2025), 2025 | 10 | 2025 |
| Sailor: Open Language Models for South-East Asia L Dou, Q Liu, G Zeng, J Guo, J Zhou, W Lu, M Lin Empirical Methods in Natural Language Processing (EMNLP 2024 Demo), 2024 | 9 | 2024 |
| Transition-based Parser and Iterative Inference Parser L Dou, Y Feng, Y Ji, W Che, T Liu Conference on Natural Language Learning (CoNLL 2020), 2020 | 9* | 2020 |
| A Survey of Table Reasoning with Large Language Models X Zhang, D Wang, L Dou, Q Zhu, W Che Frontiers of Computer Science (FCS), 2024 | 8 | 2024 |
| 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 |
| Improving Demonstration Diversity by Human-Free Fusing for Text-to-SQL D Wang, L Dou, X Zhang, Q Zhu, W Che Empirical Methods in Natural Language Processing (EMNLP 2024, Findings), 2024 | 5 | 2024 |
| 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 AAAI Conference on Artificial Intelligence (AAAI 2024), 2024 | 5* | 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 International Journal of Machine Learning and Cybernetics (JMLC), 2025 | 3 | 2025 |
| 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 (JMLC), 1-12, 2024 | 3 | 2024 |
| DAC: Decomposed Automation Correction for Text-to-SQL D Wang, L Dou, X Zhang, Q Zhu, W Che North American Chapter of the Association for Computational Linguistics …, 2025 | 2 | 2025 |
| Multi-Hop Table Retrieval for Open-Domain Text-to-SQL X Zhang, D Wang, L Dou, Q Zhu, W Che International Conference on Computational Linguistics (COLING 2025), 2025 | 1 | 2025 |
| Enhancing Numerical Reasoning with the Guidance of Reliable Reasoning Processes D Wang, L Dou, X Zhang, Q Zhu, W Che Annual Meeting of the Association for Computational Linguistics (ACL 2024), 2024 | 1 | 2024 |
| MURRE: Multi-Hop Table Retrieval with Removal for Open-Domain Text-to-SQL X Zhang, D Wang, L Dou, Q Zhu, W Che Proceedings of the 31st International Conference on Computational …, 2025 | | 2025 |
Wanxiang CheProfessor of Harbin Institute of TechnologyVerified email at ir.hit.edu.cn