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ORCIDQingfu Zhu
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2020 – today
- 2025
[j6]Nana Zhu, Caihai Zhu, Qingfu Zhu, Yuanxing Liu
:
Style Rewriter: A Three-Stage Approach for Stylistic Generation of Open-domain Conversational Responses. Data Intell. 7(2): 397-415 (2025)- [j5]Xuanliang Zhang, Dingzirui Wang, Longxu Dou, Qingfu Zhu, Wanxiang Che:
A survey of table reasoning with large language models. Frontiers Comput. Sci. 19(9): 199348 (2025) - [j4]Bohan Li, Longxu Dou, Yutai Hou, Yunlong Feng, Honglin Mu, Enbo Wang, Qingfu Zhu, Qinghua Sun, Wanxiang Che:
MixPro: Simple yet Effective Data Augmentation for Prompt-based Learning. Int. J. Mach. Learn. Cybern. 16(7): 4879-4898 (2025) - [c23]Xuanliang Zhang, Dingzirui Wang, Baoxin Wang, Longxu Dou, Xinyuan Lu, Keyan Xu, Dayong Wu, Qingfu Zhu:
SCITAT: A Question Answering Benchmark for Scientific Tables and Text Covering Diverse Reasoning Types. ACL (Findings) 2025: 3859-3881 - [c22]Xianzhen Luo, Yixuan Wang, Qingfu Zhu, Zhiming Zhang, Xuanyu Zhang, Qing Yang, Dongliang Xu:
Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling. ACL (1) 2025: 6816-6831 - [c21]Yixuan Wang, Shiqi Zhou, Chuanzhe Guo, Qingfu Zhu:
Tag-Evol: Achieving Efficient Instruction Evolving via Tag Injection. ACL (Findings) 2025: 7856-7869 - [c20]Siming Huang, Tianhao Cheng, Jason Klein Liu, Weidi Xu, Jiaran Hao, Liuyihan Song, Yang Xu, Jian Yang, Jiaheng Liu, Chenchen Zhang, Linzheng Chai, Ruifeng Yuan, Xianzhen Luo, Qiufeng Wang, YuanTao Fan, Qingfu Zhu, Zhaoxiang Zhang, Yang Gao, Jie Fu, Qian Liu, Houyi Li, Ge Zhang, Yuan Qi, Yinghui Xu, Wei Chu, Zili Wang:
OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models. ACL (1) 2025: 33167-33193 - [c19]Bohan Li, Jiannan Guan, Longxu Dou, Yunlong Feng, Dingzirui Wang, Yang Xu, Enbo Wang, Qiguang Chen, Bichen Wang, Xiao Xu, Yimeng Zhang, Libo Qin, Yanyan Zhao, Qingfu Zhu, Wanxiang Che:
Can Large Language Models Understand You Better? An MBTI Personality Detection Dataset Aligned with Population Traits. COLING 2025: 5071-5081 - [c18]Xuanliang Zhang, Dingzirui Wang, Longxu Dou, Qingfu Zhu, Wanxiang Che:
MURRE: Multi-Hop Table Retrieval with Removal for Open-Domain Text-to-SQL. COLING 2025: 5789-5806 - [c17]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. NAACL (Long Papers) 2025: 1784-1799 - [i49]Yunlong Feng, Bohan Li, Xiaoming Shi, Qingfu Zhu, Wanxiang Che:
ReF Decompile: Relabeling and Function Call Enhanced Decompile. CoRR abs/2502.12221 (2025) - [i48]Xuanliang Zhang, Dingzirui Wang, Keyan Xu, Qingfu Zhu, Wanxiang Che:
MULTITAT: Benchmarking Multilingual Table-and-Text Question Answering. CoRR abs/2502.17253 (2025) - [i47]Yijun Liu, Jinzheng Yu, Yang Xu, Zhongyang Li, Qingfu Zhu:
A Survey on Transformer Context Extension: Approaches and Evaluation. CoRR abs/2503.13299 (2025) - [i46]Keyan Xu, Dingzirui Wang, Xuanliang Zhang, Qingfu Zhu, Wanxiang Che:
Abacus-SQL: A Text-to-SQL System Empowering Cross-Domain and Open-Domain Database Retrieval. CoRR abs/2504.09824 (2025) - [i45]Xianzhen Luo, Shijie Xuyang, Tianhao Cheng, Zheng Chu, Houyi Li, Ziqi Wang, Siming Huang, Qingfu Zhu, Qiufeng Wang, Xiangyu Zhang, Shuigeng Zhou, Wanxiang Che:
Is Compression Really Linear with Code Intelligence? CoRR abs/2505.11441 (2025) - [i44]Xianzhen Luo, Qingfu Zhu, Zhiming Zhang, Mingzheng Xu, Tianhao Cheng, Yixuan Wang, Zheng Chu, Shijie Xuyang, Zhiyuan Ma, YuanTao Fan, Wanxiang Che:
Success is in the Details: Evaluate and Enhance Details Sensitivity of Code LLMs through Counterfactuals. CoRR abs/2505.14597 (2025) - [i43]Xuanliang Zhang, Dingzirui Wang, Keyan Xu, Qingfu Zhu, Wanxiang Che:
RoT: Enhancing Table Reasoning with Iterative Row-Wise Traversals. CoRR abs/2505.15110 (2025) - [i42]Yixuan Wang, Yijun Liu, Shiyu Ji, Yuzhuang Xu, Yang Xu, Qingfu Zhu, Wanxiang Che:
Think Before You Accept: Semantic Reflective Verification for Faster Speculative Decoding. CoRR abs/2505.18629 (2025) - [i41]Yixuan Wang, Shiyu Ji, Yijun Liu, Yuzhuang Xu, Yang Xu, Qingfu Zhu, Wanxiang Che:
Lookahead Q-Cache: Achieving More Consistent KV Cache Eviction via Pseudo Query. CoRR abs/2505.20334 (2025) - [i40]Yixuan Wang, Shiqi Zhou, Chuanzhe Guo, Qingfu Zhu:
Tag-Evol: Achieving Efficient Instruction Evolving via Tag Injection. CoRR abs/2505.24165 (2025) - [i39]Zhiyuan Ma, Jiayu Liu, Xianzhen Luo, Zhenya Huang, Qingfu Zhu, Wanxiang Che:
Advancing Tool-Augmented Large Language Models via Meta-Verification and Reflection Learning. CoRR abs/2506.04625 (2025) - [i38]Dingzirui Wang, Xuanliang Zhang, Rongyu Cao, Longxu Dou, Xianzhen Luo, Yingwei Ma, Qingfu Zhu, Wanxiang Che, Binhua Li, Fei Huang, Yongbin Li:
Format-Adapter: Improving Reasoning Capability of LLMs by Adapting Suitable Format. CoRR abs/2506.23133 (2025) - [i37]Dingzriui Wang, Xuanliang Zhang, Keyan Xu, Qingfu Zhu, Wanxiang Che, Yang Deng:
Learning-to-Context Slope: Evaluating In-Context Learning Effectiveness Beyond Performance Illusions. CoRR abs/2506.23146 (2025) - [i36]Dingzirui Wang, Xuanliang Zhang, Keyan Xu, Qingfu Zhu, Wanxiang Che, Yang Deng:
V-SYNTHESIS: Task-Agnostic Synthesis of Consistent and Diverse In-Context Demonstrations from Scratch via V-Entropy. CoRR abs/2506.23149 (2025) - [i35]Dingzirui Wang, Xuangliang Zhang, Keyan Xu, Qingfu Zhu, Wanxiang Che, Yang Deng:
Multi-Layer Attention is the Amplifier of Demonstration Effectiveness. CoRR abs/2508.00385 (2025) - [i34]Yuzhuang Xu, Xu Han, Yuanchi Zhang, Yixuan Wang, Yijun Liu, Shiyu Ji, Qingfu Zhu, Wanxiang Che:
CAMERA: Multi-Matrix Joint Compression for MoE Models via Micro-Expert Redundancy Analysis. CoRR abs/2508.02322 (2025) - [i33]Yixuan Wang, Haoyu Qiao, Lujun Li, Qingfu Zhu, Wanxiang Che:
CommonKV: Compressing KV Cache with Cross-layer Parameter Sharing. CoRR abs/2508.16134 (2025) - [i32]Yijun Liu, Yixuan Wang, Yuzhuang Xu, Shiyu Ji, Yang Xu, Qingfu Zhu, Wanxiang Che:
Judge Q: Trainable Queries for Optimized Information Retention in KV Cache Eviction. CoRR abs/2509.10798 (2025) - [i31]Dingzirui Wang, Xuanliang Zhang, Keyan Xu, Qingfu Zhu, Wanxiang Che, Yang Deng:
Bounds of Chain-of-Thought Robustness: Reasoning Steps, Embed Norms, and Beyond. CoRR abs/2509.21284 (2025) - [i30]Yixuan Wang, Huang He, Siqi Bao, Hua Wu, Haifeng Wang, Qingfu Zhu, Wanxiang Che:
ProxyAttn: Guided Sparse Attention via Representative Heads. CoRR abs/2509.24745 (2025) - [i29]Xianzhen Luo, Wenzhen Zheng, Qingfu Zhu, Rongyi Zhang, Houyi Li, Siming Huang, YuanTao Fan, Wanxiang Che:
Scaling Laws for Code: A More Data-Hungry Regime. CoRR abs/2510.08702 (2025) - [i28]Xianzhen Luo, Jinyang Huang, Wenzhen Zheng, Qingfu Zhu, Mingzheng Xu, Yiheng Xu, YuanTao Fan, Libo Qin, Wanxiang Che:
How Many Code and Test Cases Are Enough? Evaluating Test Cases Generation from a Binary-Matrix Perspective. CoRR abs/2510.08720 (2025) - [i27]Zhiming Zhang, Qingfu Zhu, Xianzhen Luo, Yixuan Wang, Bohan Li, Wanxiang Che:
Automated Snippet-Alignment Data Augmentation for Code Translation. CoRR abs/2510.15004 (2025) - 2024
- [c16]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 - [c15]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 - [c14]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 - [c13]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 - [c12]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 - [c11]Qingfu Zhu, Xianzhen Luo, Fang Liu, Cuiyun Gao, Wanxiang Che:
A Survey on Natural Language Processing for Programming. LREC/COLING 2024: 1690-1704 - [c10]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 - [c9]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 - [c8]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 - [c7]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 - [c6]Yuzhuang Xu, Xu Han, Zonghan Yang, Shuo Wang, Qingfu Zhu, Zhiyuan Liu, Weidong Liu, Wanxiang Che:
OneBit: Towards Extremely Low-bit Large Language Models. NeurIPS 2024 - [i26]Xuanliang Zhang, Dingzirui Wang, Longxu Dou, Qingfu Zhu, Wanxiang Che:
A Survey of Table Reasoning with Large Language Models. CoRR abs/2402.08259 (2024) - [i25]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) - [i24]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) - [i23]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) - [i22]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) - [i21]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) - [i20]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) - [i19]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) - [i18]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) - [i17]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) - [i16]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) - [i15]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) - [i14]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) - [i13]Dingzirui Wang, Longxu Dou, Xuanliang Zhang, Qingfu Zhu, Wanxiang Che:
DAC: Decomposed Automation Correction for Text-to-SQL. CoRR abs/2408.08779 (2024) - [i12]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) - [i11]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) - [i10]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) - [i9]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) - [i8]Yuzhuang Xu, Shiyu Ji, Qingfu Zhu, Wanxiang Che:
CRVQ: Channel-relaxed Vector Quantization for Extreme Compression of LLMs. CoRR abs/2412.09282 (2024) - [i7]Xuanliang Zhang, Dingzirui Wang, Baoxin Wang, Longxu Dou, Xinyuan Lu, Keyan Xu, Dayong Wu, Qingfu Zhu, Wanxiang Che:
SCITAT: A Question Answering Benchmark for Scientific Tables and Text Covering Diverse Reasoning Types. CoRR abs/2412.11757 (2024) - [i6]Bohan Li, Jiannan Guan, Longxu Dou, Yunlong Feng, Dingzirui Wang, Yang Xu, Enbo Wang, Qiguang Chen, Bichen Wang, Xiao Xu, Yimeng Zhang, Libo Qin, Yanyan Zhao, Qingfu Zhu, Wanxiang Che:
Can Large Language Models Understand You Better? An MBTI Personality Detection Dataset Aligned with Population Traits. CoRR abs/2412.12510 (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
[j5] [j4] [c19] [c18] [c17] [i49] [i48] [i46] [i45] [i44] [i43] [i42] [i41] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i9] [i8] [i7] [i6] [i5]
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