Qingfu Zhu

According to our database, Qingfu Zhu authored at least 57 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A survey of table reasoning with large language models.

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

Frontiers Comput. Sci., September, 2025

MixPro: Simple yet Effective Data Augmentation for Prompt-based Learning.

Bohan Li, Longxu Dou, Yutai Hou, Yunlong Feng, Honglin Mu, Enbo Wang, Qingfu Zhu, Qinghua Sun, Wanxiang Che

Int. J. Mach. Learn. Cybern., August, 2025

CAMERA: Multi-Matrix Joint Compression for MoE Models via Micro-Expert Redundancy Analysis.

Yuzhuang Xu, Xu Han, Yuanchi Zhang, Yixuan Wang, Yijun Liu, Shiyu Ji, Qingfu Zhu, Wanxiang Che

CoRR, August, 2025

Multi-Layer Attention is the Amplifier of Demonstration Effectiveness.

Dingzirui Wang, Xuangliang Zhang, Keyan Xu, Qingfu Zhu, Wanxiang Che, Yang Deng

CoRR, August, 2025

V-SYNTHESIS: Task-Agnostic Synthesis of Consistent and Diverse In-Context Demonstrations from Scratch via V-Entropy.

Dingzirui Wang, Xuanliang Zhang, Keyan Xu, Qingfu Zhu, Wanxiang Che, Yang Deng

CoRR, June, 2025

Learning-to-Context Slope: Evaluating In-Context Learning Effectiveness Beyond Performance Illusions.

Dingzriui Wang, Xuanliang Zhang, Keyan Xu, Qingfu Zhu, Wanxiang Che, Yang Deng

CoRR, June, 2025

Format-Adapter: Improving Reasoning Capability of LLMs by Adapting Suitable Format.

Dingzirui Wang, Xuanliang Zhang, Rongyu Cao, Longxu Dou, Xianzhen Luo, Yingwei Ma, Qingfu Zhu, Wanxiang Che, Binhua Li, Fei Huang, Yongbin Li

CoRR, June, 2025

Advancing Tool-Augmented Large Language Models via Meta-Verification and Reflection Learning.

Zhiyuan Ma, Jiayu Liu, Xianzhen Luo, Zhenya Huang, Qingfu Zhu, Wanxiang Che

CoRR, June, 2025

Lookahead Q-Cache: Achieving More Consistent KV Cache Eviction via Pseudo Query.

Yixuan Wang, Shiyu Ji, Yijun Liu, Yuzhuang Xu, Yang Xu, Qingfu Zhu, Wanxiang Che

CoRR, May, 2025

Think Before You Accept: Semantic Reflective Verification for Faster Speculative Decoding.

Yixuan Wang, Yijun Liu, Shiyu Ji, Yuzhuang Xu, Yang Xu, Qingfu Zhu, Wanxiang Che

CoRR, May, 2025

RoT: Enhancing Table Reasoning with Iterative Row-Wise Traversals.

Xuanliang Zhang, Dingzirui Wang, Keyan Xu, Qingfu Zhu, Wanxiang Che

CoRR, May, 2025

Success is in the Details: Evaluate and Enhance Details Sensitivity of Code LLMs through Counterfactuals.

Xianzhen Luo, Qingfu Zhu, Zhiming Zhang, Mingzheng Xu, Tianhao Cheng, Yixuan Wang, Zheng Chu, Shijie Xuyang, Zhiyuan Ma, YuanTao Fan, Wanxiang Che

CoRR, May, 2025

Is Compression Really Linear with Code Intelligence?

Xianzhen Luo, Shijie Xuyang, Tianhao Cheng, Zheng Chu, Houyi Li, Ziqi Wang, Siming Huang, Qingfu Zhu, Qiufeng Wang, Xiangyu Zhang, Shuigeng Zhou, Wanxiang Che

CoRR, May, 2025

Abacus-SQL: A Text-to-SQL System Empowering Cross-Domain and Open-Domain Database Retrieval.

Keyan Xu, Dingzirui Wang, Xuanliang Zhang, Qingfu Zhu, Wanxiang Che

CoRR, April, 2025

A Survey on Transformer Context Extension: Approaches and Evaluation.

Yijun Liu, Jinzheng Yu, Yang Xu, Zhongyang Li, Qingfu Zhu

CoRR, March, 2025

MULTITAT: Benchmarking Multilingual Table-and-Text Question Answering.

Xuanliang Zhang, Dingzirui Wang, Keyan Xu, Qingfu Zhu, Wanxiang Che

CoRR, February, 2025

ReF Decompile: Relabeling and Function Call Enhanced Decompile.

Yunlong Feng, Bohan Li, Xiaoming Shi, Qingfu Zhu, Wanxiang Che

CoRR, February, 2025

Style Rewriter: A Three-Stage Approach for Stylistic Generation of Open-domain Conversational Responses.

Nana Zhu, Caihai Zhu, Qingfu Zhu, Yuanxing Liu

Data Intell., 2025

Stealthy Jailbreak Attacks on Large Language Models via Benign Data Mirroring.

Honglin Mu, Han He, Yuxin Zhou, Yunlong Feng, Yang Xu, Libo Qin, Xiaoming Shi, Zeming Liu, Xudong Han, Qi Shi, Qingfu Zhu, Wanxiang Che

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

MURRE: Multi-Hop Table Retrieval with Removal for Open-Domain Text-to-SQL.

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

Proceedings of the 31st International Conference on Computational Linguistics, 2025

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

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

Proceedings of the 31st International Conference on Computational Linguistics, 2025

SCITAT: A Question Answering Benchmark for Scientific Tables and Text Covering Diverse Reasoning Types.

Xuanliang Zhang, Dingzirui Wang, Baoxin Wang, Longxu Dou, Xinyuan Lu, Keyan Xu, Dayong Wu, Qingfu Zhu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Tag-Evol: Achieving Efficient Instruction Evolving via Tag Injection.

Yixuan Wang, Shiqi Zhou, Chuanzhe Guo, Qingfu Zhu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling.

Xianzhen Luo, Yixuan Wang, Qingfu Zhu, Zhiming Zhang, Xuanyu Zhang, Qing Yang, Dongliang Xu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models.

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

SCITAT: A Question Answering Benchmark for Scientific Tables and Text Covering Diverse Reasoning Types.

Xuanliang Zhang, Dingzirui Wang, Baoxin Wang, Longxu Dou, Xinyuan Lu, Keyan Xu, Dayong Wu, Qingfu Zhu, Wanxiang Che

CoRR, 2024

CRVQ: Channel-relaxed Vector Quantization for Extreme Compression of LLMs.

Yuzhuang Xu, Shiyu Ji, Qingfu Zhu, Wanxiang Che

CoRR, 2024

In-Context Transfer Learning: Demonstration Synthesis by Transferring Similar Tasks.

Dingzirui Wang, Xuangliang Zhang, Qiguang Chen, Longxu Dou, Xiao Xu, Rongyu Cao, Yingwei Ma, Qingfu Zhu, Wanxiang Che, Binhua Li, Fei Huang, Yongbin Li

CoRR, 2024

FLEXTAF: Enhancing Table Reasoning with Flexible Tabular Formats.

Xuanliang Zhang, Dingzirui Wang, Longxu Dou, Baoxin Wang, Dayong Wu, Qingfu Zhu, Wanxiang Che

CoRR, 2024

DAC: Decomposed Automation Correction for Text-to-SQL.

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

CoRR, 2024

Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling.

Xianzhen Luo, Yixuan Wang, Qingfu Zhu, Zhiming Zhang, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che

CoRR, 2024

Semi-Instruct: Bridging Natural-Instruct and Self-Instruct for Code Large Language Models.

Xianzhen Luo, Qingfu Zhu, Zhiming Zhang, Xu Wang, Qing Yang, Dongliang Xu, Wanxiang Che

CoRR, 2024

MultiPoT: Multilingual Program of Thoughts Harnesses Multiple Programming Languages.

Xianzhen Luo, Qingfu Zhu, Zhiming Zhang, Libo Qin, Xu Wang, Qing Yang, Dongliang Xu, Wanxiang Che

CoRR, 2024

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

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

CoRR, 2024

OneBit: Towards Extremely Low-bit Large Language Models.

Yuzhuang Xu, Xu Han, Zonghan Yang, Shuo Wang, Qingfu Zhu, Zhiyuan Liu, Weidong Liu, Wanxiang Che

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Yixuan Wang, Xianzhen Luo, Fuxuan Wei, Yijun Liu, Qingfu Zhu, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Improving Demonstration Diversity by Human-Free Fusing for Text-to-SQL.

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Python is Not Always the Best Choice: Embracing Multilingual Program of Thoughts.

Xianzhen Luo, Qingfu Zhu, Zhiming Zhang, Libo Qin, Xuanyu Zhang, Qing Yang, Dongliang Xu, Wanxiang Che

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Self-Constructed Context Decompilation with Fined-grained Alignment Enhancement.

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

A Survey on Natural Language Processing for Programming.

Qingfu Zhu, Xianzhen Luo, Fang Liu, Cuiyun Gao, Wanxiang Che

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Concise and Precise Context Compression for Tool-Using Language Models.

Yang Xu, Yunlong Feng, Honglin Mu, Yutai Hou, Yitong Li, Xinghao Wang, Wanjun Zhong, Zhongyang Li, Dandan Tu, Qingfu Zhu, Min Zhang, Wanxiang Che

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Improving Grammatical Error Correction via Contextual Data Augmentation.

Yixuan Wang, Baoxin Wang, Yijun Liu, Qingfu Zhu, Dayong Wu, Wanxiang Che

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Enhancing Numerical Reasoning with the Guidance of Reliable Reasoning Processes.

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

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

Exploring Hybrid Question Answering via Program-based Prompting.

Qi Shi, Han Cui, Haofeng Wang, Qingfu Zhu, Wanxiang Che, Ting Liu

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

Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification.

Bohan Li, Xiao Xu, Xinghao Wang, Yutai Hou, Yunlong Feng, Feng Wang, Xuanliang Zhang, Qingfu Zhu, Wanxiang Che

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Static and Dynamic Attention Framework for Multi Turn Dialogue Generation.

Weinan Zhang, Yiming Cui, Kaiyan Zhang, Yifa Wang, Qingfu Zhu, Lingzhi Li, Ting Liu

ACM Trans. Inf. Syst., January, 2023

2021

Neural Stylistic Response Generation with Disentangled Latent Variables.

Qingfu Zhu, Wei-Nan Zhang, Ting Liu, William Yang Wang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Order-Sensitive Keywords Based Response Generation in Open-Domain Conversational Systems.

Qingfu Zhu, Weinan Zhang, Lei Cui, Ting Liu

ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020

Counterfactual Off-Policy Training for Neural Response Generation.

Qingfu Zhu, Weinan Zhang, Ting Liu, William Yang Wang

CoRR, 2020

Counterfactual Off-Policy Training for Neural Dialogue Generation.

Qingfu Zhu, Wei-Nan Zhang, Ting Liu, William Yang Wang

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Neural personalized response generation as domain adaptation.

Wei-Nan Zhang, Qingfu Zhu, Yifa Wang, Yanyan Zhao, Ting Liu

World Wide Web, 2019

Retrieval-Enhanced Adversarial Training for Neural Response Generation.

Qingfu Zhu, Lei Cui, Weinan Zhang, Furu Wei, Ting Liu

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Retrieval-Enhanced Adversarial Training for Neural Response Generation.

Qingfu Zhu, Lei Cui, Weinan Zhang, Furu Wei, Yining Chen, Ting Liu

CoRR, 2018

Context-Sensitive Generation of Open-Domain Conversational Responses.

Weinan Zhang, Yiming Cui, Yifa Wang, Qingfu Zhu, Lingzhi Li, Lianqiang Zhou, Ting Liu

Proceedings of the 27th International Conference on Computational Linguistics, 2018

Learning to Start for Sequence to Sequence Based Response Generation.

Qingfu Zhu, Weinan Zhang, Ting Liu

Proceedings of the Information Retrieval - 24th China Conference, 2018

2017

Neural Personalized Response Generation as Domain Adaptation.

Weinan Zhang, Ting Liu, Yifa Wang, Qingfu Zhu

CoRR, 2017

2016

Learning to Start for Sequence to Sequence Architecture.

Qingfu Zhu, Weinan Zhang, Lianqiang Zhou, Ting Liu

CoRR, 2016