Learning to Start for Sequence to Sequence Architecture. - Qingfu Zhu; Weinan Zhang 003; Lianqiang Zhou; Ting Liu 001 (CoRR, 2016)

Neural Personalized Response Generation as Domain Adaptation. - Weinan Zhang 003; Ting Liu 001; Yifa Wang; Qingfu Zhu (CoRR, 2017)

Learning to Start for Sequence to Sequence Based Response Generation. - Qingfu Zhu; Weinan Zhang 003; Ting Liu 001 (CCIR, 2018)

Context-Sensitive Generation of Open-Domain Conversational Responses. - Weinan Zhang 003; Yiming Cui 001; Yifa Wang; Qingfu Zhu; Lingzhi Li 003; Lianqiang Zhou; Ting Liu 001 (COLING, 2018)

Retrieval-Enhanced Adversarial Training for Neural Response Generation. - Qingfu Zhu; Lei Cui 001; Weinan Zhang 003; Furu Wei; Yining Chen; Ting Liu 001 (CoRR, 2018)

Retrieval-Enhanced Adversarial Training for Neural Response Generation. - Qingfu Zhu; Lei Cui 001; Weinan Zhang 003; Furu Wei; Ting Liu 001 (ACL (1), 2019)

Neural personalized response generation as domain adaptation. - Wei-Nan Zhang 003; Qingfu Zhu; Yifa Wang; Yanyan Zhao; Ting Liu 001 (World Wide Web, 2019)

Counterfactual Off-Policy Training for Neural Dialogue Generation. - Qingfu Zhu; Wei-Nan Zhang 003; Ting Liu 001; William Yang Wang (EMNLP (1), 2020)

Counterfactual Off-Policy Training for Neural Response Generation. - Qingfu Zhu; Weinan Zhang 003; Ting Liu 001; William Yang Wang (CoRR, 2020)

Order-Sensitive Keywords Based Response Generation in Open-Domain Conversational Systems. - Qingfu Zhu; Weinan Zhang 003; Lei Cui 003; Ting Liu 001 (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020)

Neural Stylistic Response Generation with Disentangled Latent Variables. - Qingfu Zhu; Wei-Nan Zhang 003; Ting Liu 001; William Yang Wang (ACL/IJCNLP (1), 2021)

A Static and Dynamic Attention Framework for Multi Turn Dialogue Generation. - Weinan Zhang 003; Yiming Cui 001; Kaiyan Zhang; Yifa Wang; Qingfu Zhu; Lingzhi Li 003; Ting Liu 001 (ACM Trans. Inf. Syst., 2023)

Semantic-Guided Generative Image Augmentation Method with Diffusion Models for Image Classification. - Bohan Li; Xiao Xu 005; Xinghao Wang; Yutai Hou; Yunlong Feng; Feng Wang; Xuanliang Zhang; Qingfu Zhu; Wanxiang Che (AAAI, 2024)

Exploring Hybrid Question Answering via Program-based Prompting. - Qi Shi 002; Han Cui; Haofeng Wang; Qingfu Zhu; Wanxiang Che; Ting Liu 001 (ACL (1), 2024)

Enhancing Numerical Reasoning with the Guidance of Reliable Reasoning Processes. - Dingzirui Wang; Longxu Dou; Xuanliang Zhang; Qingfu Zhu; Wanxiang Che (ACL (1), 2024)

Improving Grammatical Error Correction via Contextual Data Augmentation. - Yixuan Wang; Baoxin Wang; Yijun Liu; Qingfu Zhu; Dayong Wu; Wanxiang Che (ACL (Findings), 2024)

Concise and Precise Context Compression for Tool-Using Language Models. - Yang Xu 049; Yunlong Feng; Honglin Mu; Yutai Hou; Yitong Li; Xinghao Wang; Wanjun Zhong; Zhongyang Li; Dandan Tu; Qingfu Zhu; Min Zhang 005; Wanxiang Che (ACL (Findings), 2024)

A Survey on Natural Language Processing for Programming. - Qingfu Zhu; Xianzhen Luo; Fang Liu 032; Cuiyun Gao; Wanxiang Che (LREC/COLING, 2024)

Self-Constructed Context Decompilation with Fined-grained Alignment Enhancement. - Yunlong Feng; Dechuan Teng; Yang Xu 049; Honglin Mu; Xiao Xu 005; Libo Qin 001; Qingfu Zhu; Wanxiang Che (EMNLP (Findings), 2024)

Python is Not Always the Best Choice: Embracing Multilingual Program of Thoughts. - Xianzhen Luo; Qingfu Zhu; Zhiming Zhang; Libo Qin 001; Xuanyu Zhang; Qing Yang 033; Dongliang Xu; Wanxiang Che (EMNLP, 2024)

Improving Demonstration Diversity by Human-Free Fusing for Text-to-SQL. - Dingzirui Wang; Longxu Dou; Xuanliang Zhang; Qingfu Zhu; Wanxiang Che (EMNLP (Findings), 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 033; Dongliang Xu; Wanxiang Che (EMNLP, 2024)

OneBit: Towards Extremely Low-bit Large Language Models. - Yuzhuang Xu; Xu Han 007; Zonghan Yang; Shuo Wang 013; Qingfu Zhu; Zhiyuan Liu 001; Weidong Liu; Wanxiang Che (NeurIPS, 2024)

Multi-Hop Table Retrieval for Open-Domain Text-to-SQL. - Xuanliang Zhang; Dingzirui Wang; Longxu Dou; Qingfu Zhu; Wanxiang Che (CoRR, 2024)

MultiPoT: Multilingual Program of Thoughts Harnesses Multiple Programming Languages. - Xianzhen Luo; Qingfu Zhu; Zhiming Zhang; Libo Qin 001; Xu Wang; Qing Yang 033; 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 033; Dongliang Xu; 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 033; Dongliang Xu; Wanxiang Che (CoRR, 2024)

DAC: Decomposed Automation Correction for Text-to-SQL. - Dingzirui Wang; Longxu Dou; Xuanliang Zhang; Qingfu Zhu; Wanxiang Che (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)

In-Context Transfer Learning: Demonstration Synthesis by Transferring Similar Tasks. - Dingzirui Wang; Xuangliang Zhang; Qiguang Chen; Longxu Dou; Xiao Xu 005; Rongyu Cao; Yingwei Ma; Qingfu Zhu; Wanxiang Che; Binhua Li; Fei Huang 002; Yongbin Li (CoRR, 2024)

CRVQ: Channel-relaxed Vector Quantization for Extreme Compression of LLMs. - Yuzhuang Xu; Shiyu Ji; Qingfu Zhu; Wanxiang Che (CoRR, 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)

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 030; Jiaheng Liu; Chenchen Zhang; Linzheng Chai; Ruifeng Yuan; et al. (ACL (1), 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 033; Dongliang Xu (ACL (1), 2025)

Tag-Evol: Achieving Efficient Instruction Evolving via Tag Injection. - Yixuan Wang; Shiqi Zhou; Chuanzhe Guo; Qingfu Zhu (ACL (Findings), 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 (ACL (Findings), 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 049; Enbo Wang; Qiguang Chen; Bichen Wang; Xiao Xu 005; Yimeng Zhang; Libo Qin 001; et al. (COLING, 2025)

MURRE: Multi-Hop Table Retrieval with Removal for Open-Domain Text-to-SQL. - Xuanliang Zhang; Dingzirui Wang; Longxu Dou; Qingfu Zhu; Wanxiang Che (COLING, 2025)

Stealthy Jailbreak Attacks on Large Language Models via Benign Data Mirroring. - Honglin Mu; Han He; Yuxin Zhou; Yunlong Feng; Yang Xu 049; Libo Qin 001; Xiaoming Shi; Zeming Liu; Xudong Han; Qi Shi 002; Qingfu Zhu; Wanxiang Che (NAACL (Long Papers), 2025)

Style Rewriter: A Three-Stage Approach for Stylistic Generation of Open-domain Conversational Responses. - Nana Zhu; Caihai Zhu; Qingfu Zhu; Yuanxing Liu 001 (Data Intell., 2025)

ReF Decompile: Relabeling and Function Call Enhanced Decompile. - Yunlong Feng; Bohan Li; Xiaoming Shi; Qingfu Zhu; Wanxiang Che (CoRR, 2025)

MULTITAT: Benchmarking Multilingual Table-and-Text Question Answering. - Xuanliang Zhang; Dingzirui Wang; Keyan Xu; Qingfu Zhu; Wanxiang Che (CoRR, 2025)

A Survey on Transformer Context Extension: Approaches and Evaluation. - Yijun Liu; Jinzheng Yu; Yang Xu 049; Zhongyang Li; Qingfu Zhu (CoRR, 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, 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 005; Shuigeng Zhou; Wanxiang Che (CoRR, 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, 2025)

RoT: Enhancing Table Reasoning with Iterative Row-Wise Traversals. - Xuanliang Zhang; Dingzirui Wang; Keyan Xu; Qingfu Zhu; Wanxiang Che (CoRR, 2025)

Think Before You Accept: Semantic Reflective Verification for Faster Speculative Decoding. - Yixuan Wang; Yijun Liu; Shiyu Ji; Yuzhuang Xu; Yang Xu 049; Qingfu Zhu; Wanxiang Che (CoRR, 2025)

Lookahead Q-Cache: Achieving More Consistent KV Cache Eviction via Pseudo Query. - Yixuan Wang; Shiyu Ji; Yijun Liu; Yuzhuang Xu; Yang Xu 049; Qingfu Zhu; Wanxiang Che (CoRR, 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, 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 002; Yongbin Li (CoRR, 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 002 (CoRR, 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 002 (CoRR, 2025)

Multi-Layer Attention is the Amplifier of Demonstration Effectiveness. - Dingzirui Wang; Xuangliang Zhang; Keyan Xu; Qingfu Zhu; Wanxiang Che; Yang Deng 002 (CoRR, 2025)

CAMERA: Multi-Matrix Joint Compression for MoE Models via Micro-Expert Redundancy Analysis. - Yuzhuang Xu; Xu Han 007; Yuanchi Zhang; Yixuan Wang; Yijun Liu; Shiyu Ji; Qingfu Zhu; Wanxiang Che (CoRR, 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., 2025)

A survey of table reasoning with large language models. - Xuanliang Zhang; Dingzirui Wang; Longxu Dou; Qingfu Zhu; Wanxiang Che (Frontiers Comput. Sci., 2025)