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

A Two-Stage Framework with Self-Supervised Distillation For Cross-Domain Text Classification

Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 1768--1777, 2024.

Feng, Yunlong and Li, Bohan and Qin, Libo and Xu, Xiao and Che, Wanxiang

A Two-Stage Framework with Self-Supervised Distillation For Cross-Domain Text Classification

Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 1768--1777, 2024.

Feng, Yunlong and Li, Bohan and Qin, Libo and Xu, Xiao and Che, Wanxiang

Beyond Static Evaluation: A Dynamic Approach to Assessing AI Assistants’ API Invocation Capabilities

Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 2342--2353, 2024.

Mu, Honglin and Xu, Yang and Feng, Yunlong and Han, Xiaofeng and Li, Yitong and Hou, Yutai and Che, Wanxiang

Beyond Static Evaluation: A Dynamic Approach to Assessing AI Assistants’ API Invocation Capabilities

Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 2342--2353, 2024.

Mu, Honglin and Xu, Yang and Feng, Yunlong and Han, Xiaofeng and Li, Yitong and Hou, Yutai 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 Equation as a Better Intermediate Meaning Representation for Numerical Reasoning of Large Language Models

Proceedings of the AAAI Conference on Artificial Intelligence, 19116--19125, 2024.

Wang, Dingzirui and Dou, Longxu and Zhang, Wenbin and Zeng, Junyu and Che, Wanxiang

Exploring Equation as a Better Intermediate Meaning Representation for Numerical Reasoning of Large Language Models

Proceedings of the AAAI Conference on Artificial Intelligence, 19116--19125, 2024.

Wang, Dingzirui and Dou, Longxu and Zhang, Wenbin and Zeng, Junyu 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

Improving Language Model Reasoning with Self-motivated Learning

Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 8840--8852, 2024.

Feng, Yunlong and Xu, Yang and Qin, Libo and Wang, Yasheng and Che, Wanxiang

Improving Language Model Reasoning with Self-motivated Learning

Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 8840--8852, 2024.

Feng, Yunlong and Xu, Yang and Qin, Libo and Wang, Yasheng and Che, Wanxiang

LM-Combiner: A Contextual Rewriting Model for Chinese Grammatical Error Correction

Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 10675--10685, 2024.

Wang, Yixuan and Wang, Baoxin and Liu, Yijun and Wu, Dayong and Che, Wanxiang

LM-Combiner: A Contextual Rewriting Model for Chinese Grammatical Error Correction

Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), 10675--10685, 2024.

Wang, Yixuan and Wang, Baoxin and Liu, Yijun and Wu, Dayong and Che, Wanxiang

M^3CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought

arXiv preprint arXiv:2405.16473, 2024.

Chen, Qiguang and Qin, Libo and Zhang, Jin and Chen, Zhi and Xu, Xiao and Che, Wanxiang

M^3CoT: A Novel Benchmark for Multi-Domain Multi-step Multi-modal Chain-of-Thought

arXiv preprint arXiv:2405.16473, 2024.

Chen, Qiguang and Qin, Libo and Zhang, Jin and Chen, Zhi and Xu, Xiao 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