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

Enhancing Numerical Reasoning with the Guidance of Reliable Reasoning Processes

arXiv preprint arXiv:2402.10654, 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

arXiv preprint arXiv:2402.10654, 2024.

Wang, Dingzirui and Dou, Longxu and Zhang, Xuanliang and Zhu, Qingfu and Che, Wanxiang

Exploring Hybrid Question Answering via Program-based Prompting

arXiv preprint arXiv:2402.10812, 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

arXiv preprint arXiv:2402.10812, 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

arXiv preprint arXiv:2402.10663, 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

arXiv preprint arXiv:2402.10663, 2024.

Wang, Dingzirui and Dou, Longxu and Zhang, Xuanliang and Zhu, Qingfu and Che, Wanxiang

Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy Training

arXiv preprint arXiv:2406.17404, 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

arXiv preprint arXiv:2406.17404, 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

arXiv preprint arXiv:2402.11295, 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

arXiv preprint arXiv:2402.11295, 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

arXiv preprint arXiv:2406.17233, 2024.

Feng, Yunlong and Xu, Yang and Teng, Dechuan and Mu, Honglin and Xu, Xiao and Qin, Libo and Che, Wanxiang and Zhu, Qingfu

Self-Constructed Context Decompilation with Fined-grained Alignment Enhancement

arXiv preprint arXiv:2406.17233, 2024.

Feng, Yunlong and Xu, Yang and Teng, Dechuan and Mu, Honglin and Xu, Xiao and Qin, Libo and Che, Wanxiang and Zhu, Qingfu

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