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

Can Large Language Models Understand You Better? An MBTI Personality Detection Dataset Aligned with Population Traits

arXiv preprint arXiv:2412.12510, 2024.

Bohan Li and Jiannan Guan and Longxu Dou and Yunlong Feng and Dingzirui Wang and Yang Xu and Enbo Wang and Qiguang Chen and Bichen Wang and Xiao Xu and Yimeng Zhang and Libo Qin and Yanyan Zhao and Qingfu Zhu and Wanxiang Che

Can Large Language Models Understand You Better? An MBTI Personality Detection Dataset Aligned with Population Traits

arXiv preprint arXiv:2412.12510, 2024.

Bohan Li and Jiannan Guan and Longxu Dou and Yunlong Feng and Dingzirui Wang and Yang Xu and Enbo Wang and Qiguang Chen and Bichen Wang and Xiao Xu and Yimeng Zhang and Libo Qin and Yanyan Zhao and Qingfu Zhu and Wanxiang Che

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

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 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

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

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 8199--8221, 2024.

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

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 8199--8221, 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

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

Multi-Hop Table Retrieval for Open-Domain Text-to-SQL

arXiv preprint arXiv:2402.10666, 2024.

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

Multi-Hop Table Retrieval for Open-Domain Text-to-SQL

arXiv preprint arXiv:2402.10666, 2024.

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

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

Unlocking the Capabilities of Thought: A Reasoning Boundary Framework to Quantify and Optimize Chain-of-Thought

arXiv preprint arXiv:2410.05695, 2024.

Chen, Qiguang and Qin, Libo and Wang, Jiaqi and Zhou, Jinxuan and Che, Wanxiang

Unlocking the Capabilities of Thought: A Reasoning Boundary Framework to Quantify and Optimize Chain-of-Thought

arXiv preprint arXiv:2410.05695, 2024.

Chen, Qiguang and Qin, Libo and Wang, Jiaqi and Zhou, Jinxuan and Che, Wanxiang