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2020 – today
- 2024
[c15]Bohan Li, Xiao Xu, Xinghao Wang, Yutai Hou, Yunlong Feng, Feng Wang, Xuanliang Zhang, Qingfu Zhu, Wanxiang Che:
Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification. AAAI 2024: 3018-3027- [c14]Dingzirui Wang, Longxu Dou, Xuanliang Zhang, Qingfu Zhu, Wanxiang Che:
Enhancing Numerical Reasoning with the Guidance of Reliable Reasoning Processes. ACL (1) 2024: 10812-10828 - [c13]Yixuan Wang, Baoxin Wang, Yijun Liu, Qingfu Zhu, Dayong Wu, Wanxiang Che:
Improving Grammatical Error Correction via Contextual Data Augmentation. ACL (Findings) 2024: 10898-10910 - [c12]Qi Shi, Han Cui, Haofeng Wang, Qingfu Zhu, Wanxiang Che, Ting Liu:
Exploring Hybrid Question Answering via Program-based Prompting. ACL (1) 2024: 11035-11046 - [c11]Yang Xu, Yunlong Feng, Honglin Mu, Yutai Hou, Yitong Li, Xinghao Wang, Wanjun Zhong, Zhongyang Li, Dandan Tu, Qingfu Zhu, Min Zhang, Wanxiang Che:
Concise and Precise Context Compression for Tool-Using Language Models. ACL (Findings) 2024: 16430-16441 - [c10]Qingfu Zhu, Xianzhen Luo, Fang Liu, Cuiyun Gao, Wanxiang Che:
A Survey on Natural Language Processing for Programming. LREC/COLING 2024: 1690-1704 - [c9]Dingzirui Wang, Longxu Dou, Xuanliang Zhang, Qingfu Zhu, Wanxiang Che:
Improving Demonstration Diversity by Human-Free Fusing for Text-to-SQL. EMNLP (Findings) 2024: 1193-1207 - [c8]Yunlong Feng, Dechuan Teng, Yang Xu, Honglin Mu, Xiao Xu, Libo Qin, Qingfu Zhu, Wanxiang Che:
Self-Constructed Context Decompilation with Fined-grained Alignment Enhancement. EMNLP (Findings) 2024: 6603-6614 - [c7]Xianzhen Luo, Qingfu Zhu, Zhiming Zhang, Libo Qin, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che:
Python is Not Always the Best Choice: Embracing Multilingual Program of Thoughts. EMNLP 2024: 7185-7212 - [c6]Yixuan Wang, Xianzhen Luo, Fuxuan Wei, Yijun Liu, Qingfu Zhu, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che:
Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy Training. EMNLP 2024: 12914-12926 - [i23]Xuanliang Zhang, Dingzirui Wang, Longxu Dou, Qingfu Zhu, Wanxiang Che:
A Survey of Table Reasoning with Large Language Models. CoRR abs/2402.08259 (2024) - [i22]Dingzirui Wang, Longxu Dou, Xuanliang Zhang, Qingfu Zhu, Wanxiang Che:
Enhancing Numerical Reasoning with the Guidance of Reliable Reasoning Processes. CoRR abs/2402.10654 (2024) - [i21]Dingzirui Wang, Longxu Dou, Xuanliang Zhang, Qingfu Zhu, Wanxiang Che:
Improving Demonstration Diversity by Human-Free Fusing for Text-to-SQL. CoRR abs/2402.10663 (2024) - [i20]Xuanliang Zhang, Dingzirui Wang, Longxu Dou, Qingfu Zhu, Wanxiang Che:
Multi-Hop Table Retrieval for Open-Domain Text-to-SQL. CoRR abs/2402.10666 (2024) - [i19]Xianzhen Luo, Qingfu Zhu, Zhiming Zhang, Libo Qin, Xu Wang, Qing Yang, Dongliang Xu, Wanxiang Che:
MultiPoT: Multilingual Program of Thoughts Harnesses Multiple Programming Languages. CoRR abs/2402.10691 (2024) - [i18]Qi Shi, Han Cui, Haofeng Wang, Qingfu Zhu, Wanxiang Che, Ting Liu:
Exploring Hybrid Question Answering via Program-based Prompting. CoRR abs/2402.10812 (2024) - [i17]Yuzhuang Xu, Xu Han, Zonghan Yang, Shuo Wang, Qingfu Zhu, Zhiyuan Liu, Weidong Liu, Wanxiang Che:
OneBit: Towards Extremely Low-bit Large Language Models. CoRR abs/2402.11295 (2024) - [i16]Xianzhen Luo, Qingfu Zhu, Zhiming Zhang, Xu Wang, Qing Yang, Dongliang Xu, Wanxiang Che:
Semi-Instruct: Bridging Natural-Instruct and Self-Instruct for Code Large Language Models. CoRR abs/2403.00338 (2024) - [i15]Yunlong Feng, Yang Xu, Dechuan Teng, Honglin Mu, Xiao Xu, Libo Qin, Wanxiang Che, Qingfu Zhu:
Self-Constructed Context Decompilation with Fined-grained Alignment Enhancement. CoRR abs/2406.17233 (2024) - [i14]Yixuan Wang, Xianzhen Luo, Fuxuan Wei, Yijun Liu, Qingfu Zhu, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che:
Make Some Noise: Unlocking Language Model Parallel Inference Capability through Noisy Training. CoRR abs/2406.17404 (2024) - [i13]Yixuan Wang, Baoxin Wang, Yijun Liu, Qingfu Zhu, Dayong Wu, Wanxiang Che:
Improving Grammatical Error Correction via Contextual Data Augmentation. CoRR abs/2406.17456 (2024) - [i12]Yang Xu, Yunlong Feng, Honglin Mu, Yutai Hou, Yitong Li, Xinghao Wang, Wanjun Zhong, Zhongyang Li, Dandan Tu, Qingfu Zhu, Min Zhang, Wanxiang Che:
Concise and Precise Context Compression for Tool-Using Language Models. CoRR abs/2407.02043 (2024) - [i11]Xianzhen Luo, Yixuan Wang, Qingfu Zhu, Zhiming Zhang, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che:
Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling. CoRR abs/2408.08696 (2024) - [i10]Dingzirui Wang, Longxu Dou, Xuanliang Zhang, Qingfu Zhu, Wanxiang Che:
DAC: Decomposed Automation Correction for Text-to-SQL. CoRR abs/2408.08779 (2024) - [i9]Xuanliang Zhang, Dingzirui Wang, Longxu Dou, Baoxin Wang, Dayong Wu, Qingfu Zhu, Wanxiang Che:
FLEXTAF: Enhancing Table Reasoning with Flexible Tabular Formats. CoRR abs/2408.08841 (2024) - [i8]Dingzirui Wang, Xuangliang Zhang, Qiguang Chen, Longxu Dou, Xiao Xu, Rongyu Cao, Yingwei Ma, Qingfu Zhu, Wanxiang Che, Binhua Li, Fei Huang, Yongbin Li:
In-Context Transfer Learning: Demonstration Synthesis by Transferring Similar Tasks. CoRR abs/2410.01548 (2024) - [i7]Wei-Nan Zhang, Yiming Cui, Kaiyan Zhang, Yifa Wang, Qingfu Zhu, Lingzhi Li, Ting Liu:
A Static and Dynamic Attention Framework for Multi Turn Dialogue Generation. CoRR abs/2410.20766 (2024) - [i6]Honglin Mu, Han He, Yuxin Zhou, Yunlong Feng, Yang Xu, Libo Qin, Xiaoming Shi, Zeming Liu, Xudong Han, Qi Shi, Qingfu Zhu, Wanxiang Che:
Stealthy Jailbreak Attacks on Large Language Models via Benign Data Mirroring. CoRR abs/2410.21083 (2024) - 2023
- [j3]Weinan Zhang
, Yiming Cui, Kaiyan Zhang, Yifa Wang, Qingfu Zhu, Lingzhi Li, Ting Liu:
A Static and Dynamic Attention Framework for Multi Turn Dialogue Generation. ACM Trans. Inf. Syst. 41(1): 15:1-15:30 (2023) - 2022
- [i5]Qingfu Zhu, Xianzhen Luo, Fang Liu, Cuiyun Gao, Wanxiang Che:
A Survey on Natural Language Processing for Programming. CoRR abs/2212.05773 (2022) - 2021
- [c5]Qingfu Zhu, Wei-Nan Zhang, Ting Liu, William Yang Wang:
Neural Stylistic Response Generation with Disentangled Latent Variables. ACL/IJCNLP (1) 2021: 4391-4401 - 2020
- [j2]Qingfu Zhu, Weinan Zhang, Lei Cui, Ting Liu:
Order-Sensitive Keywords Based Response Generation in Open-Domain Conversational Systems. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(2): 18:1-18:18 (2020) - [c4]Qingfu Zhu, Wei-Nan Zhang, Ting Liu, William Yang Wang:
Counterfactual Off-Policy Training for Neural Dialogue Generation. EMNLP (1) 2020: 3438-3448 - [i4]Qingfu Zhu, Weinan Zhang, Ting Liu, William Yang Wang:
Counterfactual Off-Policy Training for Neural Response Generation. CoRR abs/2004.14507 (2020)
2010 – 2019
- 2019
- [j1]Wei-Nan Zhang, Qingfu Zhu, Yifa Wang, Yanyan Zhao, Ting Liu:
Neural personalized response generation as domain adaptation. World Wide Web 22(4): 1427-1446 (2019) - [c3]Qingfu Zhu, Lei Cui, Weinan Zhang, Furu Wei, Ting Liu:
Retrieval-Enhanced Adversarial Training for Neural Response Generation. ACL (1) 2019: 3763-3773 - 2018
- [c2]Qingfu Zhu, Weinan Zhang, Ting Liu:
Learning to Start for Sequence to Sequence Based Response Generation. CCIR 2018: 274-285 - [c1]Weinan Zhang, Yiming Cui, Yifa Wang, Qingfu Zhu, Lingzhi Li, Lianqiang Zhou, Ting Liu:
Context-Sensitive Generation of Open-Domain Conversational Responses. COLING 2018: 2437-2447 - [i3]Qingfu Zhu, Lei Cui, Weinan Zhang, Furu Wei, Yining Chen, Ting Liu:
Retrieval-Enhanced Adversarial Training for Neural Response Generation. CoRR abs/1809.04276 (2018) - 2017
- [i2]Weinan Zhang, Ting Liu, Yifa Wang, Qingfu Zhu:
Neural Personalized Response Generation as Domain Adaptation. CoRR abs/1701.02073 (2017) - 2016
- [i1]Qingfu Zhu, Weinan Zhang, Lianqiang Zhou, Ting Liu:
Learning to Start for Sequence to Sequence Architecture. CoRR abs/1608.05554 (2016)
Coauthor Index
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