A survey of table reasoning with large language models
Frontiers of Computer Science, 199348, 2025.
Zhang, Xuanliang and Wang, Dingzirui and Dou, Longxu and Zhu, Qingfu and Che, Wanxiang
Zhu Qingfu
A survey of table reasoning with large language models
Frontiers of Computer Science, 199348, 2025.
Zhang, Xuanliang and Wang, Dingzirui and Dou, Longxu and Zhu, Qingfu and Che, Wanxiang
Abacus-SQL: A Text-to-SQL System Empowering Cross-Domain and Open-Domain Database Retrieval
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 118--128, 2025.
Xu, Keyan and Wang, Dingzirui and Zhang, Xuanliang and Zhu, Qingfu and Che, Wanxiang
Abacus-SQL: A Text-to-SQL System Empowering Cross-Domain and Open-Domain Database Retrieval
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 118--128, 2025.
Xu, Keyan and Wang, Dingzirui and Zhang, Xuanliang and Zhu, Qingfu and Che, Wanxiang
Can Large Language Models Understand You Better? An MBTI Personality Detection Dataset Aligned with Population Traits
Proceedings of the 31st International Conference on Computational Linguistics, 5071--5081, 2025.
Li, Bohan and Guan, Jiannan and Dou, Longxu and Feng, Yunlong and Wang, Dingzirui and Xu, Yang and Wang, Enbo and Chen, Qiguang and Wang, Bichen and Xu, Xiao and Zhang, Yimeng and Qin, Libo and Zhao, Yanyan and Zhu, Qingfu and Che, Wanxiang
Can Large Language Models Understand You Better? An MBTI Personality Detection Dataset Aligned with Population Traits
Proceedings of the 31st International Conference on Computational Linguistics, 5071--5081, 2025.
Li, Bohan and Guan, Jiannan and Dou, Longxu and Feng, Yunlong and Wang, Dingzirui and Xu, Yang and Wang, Enbo and Chen, Qiguang and Wang, Bichen and Xu, Xiao and Zhang, Yimeng and Qin, Libo and Zhao, Yanyan and Zhu, Qingfu and Che, Wanxiang
Mixpro: Simple yet effective data augmentation for prompt-based learning
International Journal of Machine Learning and Cybernetics, 1--20, 2025.
Li, Bohan and Dou, Longxu and Hou, Yutai and Feng, Yunlong and Mu, Honglin and Wang, Enbo and Zhu, Qingfu and Sun, Qinghua and Che, Wanxiang
Mixpro: Simple yet effective data augmentation for prompt-based learning
International Journal of Machine Learning and Cybernetics, 1--20, 2025.
Li, Bohan and Dou, Longxu and Hou, Yutai and Feng, Yunlong and Mu, Honglin and Wang, Enbo and Zhu, Qingfu and Sun, Qinghua and Che, Wanxiang
MULTITAT: Benchmarking Multilingual Table-and-Text Question Answering
arXiv preprint arXiv:2502.17253, 2025.
Zhang, Xuanliang and Wang, Dingzirui and Xu, Keyan and Zhu, Qingfu and Che, Wanxiang
MULTITAT: Benchmarking Multilingual Table-and-Text Question Answering
arXiv preprint arXiv:2502.17253, 2025.
Zhang, Xuanliang and Wang, Dingzirui and Xu, Keyan and Zhu, Qingfu and Che, Wanxiang
MURRE: Multi-Hop Table Retrieval with Removal for Open-Domain Text-to-SQL
Proceedings of the 31st International Conference on Computational Linguistics, 5789--5806, 2025.
Zhang, Xuanliang and Wang, Dingzirui and Dou, Longxu and Zhu, Qingfu and Che, Wanxiang
MURRE: Multi-Hop Table Retrieval with Removal for Open-Domain Text-to-SQL
Proceedings of the 31st International Conference on Computational Linguistics, 5789--5806, 2025.
Zhang, Xuanliang and Wang, Dingzirui and Dou, Longxu and Zhu, Qingfu and Che, Wanxiang
RoT: Enhancing Table Reasoning with Iterative Row-Wise Traversals
arXiv preprint arXiv:2505.15110, 2025.
Zhang, Xuanliang and Wang, Dingzirui and Xu, Keyan and Zhu, Qingfu and Che, Wanxiang
RoT: Enhancing Table Reasoning with Iterative Row-Wise Traversals
arXiv preprint arXiv:2505.15110, 2025.
Zhang, Xuanliang and Wang, Dingzirui and Xu, Keyan and Zhu, Qingfu and Che, Wanxiang
SCITAT: A Question Answering Benchmark for Scientific Tables and Text Covering Diverse Reasoning Types
Findings of the Association for Computational Linguistics: ACL 2025, 3859--3881, 2025.
Zhang, Xuanliang and Wang, Dingzirui and Wang, Baoxin and Dou, Longxu and Lu, Xinyuan and Xu, Keyan and Wu, Dayong and Zhu, Qingfu
SCITAT: A Question Answering Benchmark for Scientific Tables and Text Covering Diverse Reasoning Types
Findings of the Association for Computational Linguistics: ACL 2025, 3859--3881, 2025.
Zhang, Xuanliang and Wang, Dingzirui and Wang, Baoxin and Dou, Longxu and Lu, Xinyuan and Xu, Keyan and Wu, Dayong and Zhu, Qingfu
Tag-Evol: Achieving Efficient Instruction Evolving via Tag Injection
Findings of the Association for Computational Linguistics: ACL 2025, 7856--7869, 2025.
Wang, Yixuan and Zhou, Shiqi and Guo, Chuanzhe and Zhu, Qingfu
Tag-Evol: Achieving Efficient Instruction Evolving via Tag Injection
Findings of the Association for Computational Linguistics: ACL 2025, 7856--7869, 2025.
Wang, Yixuan and Zhou, Shiqi and Guo, Chuanzhe and Zhu, Qingfu
Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 6816--6831, 2025.
Luo, Xianzhen and Wang, Yixuan and Zhu, Qingfu and Zhang, Zhiming and Zhang, Xuanyu and Yang, Qing and Xu, Dongliang
Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 6816--6831, 2025.
Luo, Xianzhen and Wang, Yixuan and Zhu, Qingfu and Zhang, Zhiming and Zhang, Xuanyu and Yang, Qing and Xu, Dongliang
A Survey on Natural Language Processing for Programming
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 1690--1704, 2024.
Zhu, Qingfu and Luo, Xianzhen and Liu, Fang and Gao, Cuiyun and Che, Wanxiang
A Survey on Natural Language Processing for Programming
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 1690--1704, 2024.
Zhu, Qingfu and Luo, Xianzhen and Liu, Fang and Gao, Cuiyun and Che, Wanxiang
Concise and Precise Context Compression for Tool-Using Language Models
Findings of the Association for Computational Linguistics: ACL 2024, 16430--16441, 2024.
Xu, Yang and Feng, Yunlong and Mu, Honglin and Hou, Yutai and Li, Yitong and Wang, Xinghao and Zhong, Wanjun and Li, Zhongyang and Tu, Dandan and Zhu, Qingfu and Zhang, Min and Che, Wanxiang
Concise and Precise Context Compression for Tool-Using Language Models
Findings of the Association for Computational Linguistics: ACL 2024, 16430--16441, 2024.
Xu, Yang and Feng, Yunlong and Mu, Honglin and Hou, Yutai and Li, Yitong and Wang, Xinghao and Zhong, Wanjun and Li, Zhongyang and Tu, Dandan and Zhu, Qingfu and Zhang, Min and Che, Wanxiang
CRVQ: Channel-Relaxed Vector Quantization for Extreme Compression of LLMs
arXiv preprint arXiv:2412.09282, 2024.
Xu, Yuzhuang and Ji, Shiyu and Zhu, Qingfu and Che, Wanxiang
CRVQ: Channel-Relaxed Vector Quantization for Extreme Compression of LLMs
arXiv preprint arXiv:2412.09282, 2024.
Xu, Yuzhuang and Ji, Shiyu and Zhu, Qingfu and Che, Wanxiang
DAC: decomposed automation correction for text-to-SQL
arXiv preprint arXiv:2408.08779, 2024.
Wang, Dingzirui and Dou, Longxu and Zhang, Xuanliang and Zhu, Qingfu and Che, Wanxiang
DAC: decomposed automation correction for text-to-SQL
arXiv preprint arXiv:2408.08779, 2024.
Wang, Dingzirui and Dou, Longxu and Zhang, Xuanliang and Zhu, Qingfu and Che, Wanxiang
Enhancing Numerical Reasoning with the Guidance of Reliable Reasoning Processes
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 10812--10828, 2024.
Wang, Dingzirui and Dou, Longxu and Zhang, Xuanliang and Zhu, Qingfu and Che, Wanxiang
Enhancing Numerical Reasoning with the Guidance of Reliable Reasoning Processes
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 10812--10828, 2024.
Wang, Dingzirui and Dou, Longxu and Zhang, Xuanliang and Zhu, Qingfu and Che, Wanxiang
Exploring Hybrid Question Answering via Program-based Prompting
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 11035--11046, 2024.
Shi, Qi and Cui, Han and Wang, Haofeng and Zhu, Qingfu and Che, Wanxiang and Liu, Ting
Exploring Hybrid Question Answering via Program-based Prompting
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 11035--11046, 2024.
Shi, Qi and Cui, Han and Wang, Haofeng and Zhu, Qingfu and Che, Wanxiang and Liu, Ting
Improving Demonstration Diversity by Human-Free Fusing for Text-to-SQL
Findings of the Association for Computational Linguistics: EMNLP 2024, 1193--1207, 2024.
Wang, Dingzirui and Dou, Longxu and Zhang, Xuanliang and Zhu, Qingfu and Che, Wanxiang
Improving Demonstration Diversity by Human-Free Fusing for Text-to-SQL
Findings of the Association for Computational Linguistics: EMNLP 2024, 1193--1207, 2024.
Wang, Dingzirui and Dou, Longxu and Zhang, Xuanliang and Zhu, Qingfu and Che, Wanxiang
Improving Grammatical Error Correction via Contextual Data Augmentation
Findings of the Association for Computational Linguistics: ACL 2024, 10898--10910, 2024.
Wang, Yixuan and Wang, Baoxin and Liu, Yijun and Zhu, Qingfu and Wu, Dayong and Che, Wanxiang
Improving Grammatical Error Correction via Contextual Data Augmentation
Findings of the Association for Computational Linguistics: ACL 2024, 10898--10910, 2024.
Wang, Yixuan and Wang, Baoxin and Liu, Yijun and Zhu, Qingfu and Wu, Dayong and Che, Wanxiang
Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy Training
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 12914--12926, 2024.
Wang, Yixuan and Luo, Xianzhen and Wei, Fuxuan and Liu, Yijun and Zhu, Qingfu and Zhang, Xuanyu and Yang, Qing and Xu, Dongliang and Che, Wanxiang
Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy Training
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 12914--12926, 2024.
Wang, Yixuan and Luo, Xianzhen and Wei, Fuxuan and Liu, Yijun and Zhu, Qingfu and Zhang, Xuanyu and Yang, Qing and Xu, Dongliang and Che, Wanxiang
OneBit: Towards Extremely Low-bit Large Language Models
Advances in Neural Information Processing Systems, 66357--66382, 2024.
Xu, Yuzhuang and Han, Xu and Yang, Zonghan and Wang, Shuo and Zhu, Qingfu and Liu, Zhiyuan and Liu, Weidong and Che, Wanxiang
OneBit: Towards Extremely Low-bit Large Language Models
Advances in Neural Information Processing Systems, 66357--66382, 2024.
Xu, Yuzhuang and Han, Xu and Yang, Zonghan and Wang, Shuo and Zhu, Qingfu and Liu, Zhiyuan and Liu, Weidong and Che, Wanxiang
Self-Constructed Context Decompilation with Fined-grained Alignment Enhancement
Findings of the Association for Computational Linguistics: EMNLP 2024, 6603--6614, 2024.
Feng, Yunlong and Teng, Dechuan and Xu, Yang and Mu, Honglin and Xu, Xiao and Qin, Libo and Zhu, Qingfu and Che, Wanxiang
Self-Constructed Context Decompilation with Fined-grained Alignment Enhancement
Findings of the Association for Computational Linguistics: EMNLP 2024, 6603--6614, 2024.
Feng, Yunlong and Teng, Dechuan and Xu, Yang and Mu, Honglin and Xu, Xiao and Qin, Libo and Zhu, Qingfu and Che, Wanxiang
Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification
Proceedings of the AAAI Conference on Artificial Intelligence, 3018--3027, 2024.
Li, Bohan and Xu, Xiao and Wang, Xinghao and Hou, Yutai and Feng, Yunlong and Wang, Feng and Zhang, Xuanliang and Zhu, Qingfu and Che, Wanxiang
Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification
Proceedings of the AAAI Conference on Artificial Intelligence, 3018--3027, 2024.
Li, Bohan and Xu, Xiao and Wang, Xinghao and Hou, Yutai and Feng, Yunlong and Wang, Feng and Zhang, Xuanliang and Zhu, Qingfu and Che, Wanxiang