Qingfu Zhu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
35
Venues
6
Active years
2018–2026
Best venue rank
A*
Where they publish
Papers
35 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Judge Q: Trainable Queries for Optimized Information Retention in KV Cache Eviction. | Yijun Liu, Yixuan Wang, Yuzhuang Xu, Shiyu Ji, Yang Xu, Qingfu Zhu, Wanxiang Che |
| 2026 | AAAI | 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 |
| 2026 | ACL | When Does Language Matter? Multilingual Instructions Reveal Step-wise Language Sensitivity in Vision-Language-Action Models. | Xuan Dong, Zhe Han, Tianhao Niu, Qingfu Zhu, Wanxiang Che |
| 2026 | ACL | Seer Self-Consistency: Advance Budget Estimation for Adaptive Test-Time Scaling. | Shiyu Ji, Yixuan Wang, Yijun Liu, Qingfu Zhu, Wanxiang Che |
| 2026 | ACL | Scaling Laws for Code: A More Data-Hungry Regime. | Xianzhen Luo, Wenzhen Zheng, Qingfu Zhu, Rongyi Zhang, Houyi Li, Siming Huang, YuanTao Fan, Wanxiang Che |
| 2026 | ACL | Dashboard2Code: Evaluating Multimodal Models on Reconstructing Interactive Dashboards. | Tianhao Niu, Ziyu Han, Qiguang Chen, Shiqi Zhou, Baocai Shan, Hengjie Fang, Qingfu Zhu, Wanxiang Che |
| 2026 | ACL | 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, Binhua Li, Fei Huang, Yongbin Li |
| 2025 | ACL | 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 |
| 2025 | ACL | 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 |
| 2025 | ACL | Tag-Evol: Achieving Efficient Instruction Evolving via Tag Injection. | Yixuan Wang, Shiqi Zhou, Chuanzhe Guo, Qingfu Zhu |
| 2025 | ACL | 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 |
| 2025 | ACL | 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 |
| 2025 | COLING | 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 |
| 2025 | COLING | MURRE: Multi-Hop Table Retrieval with Removal for Open-Domain Text-to-SQL. | Xuanliang Zhang, Dingzirui Wang, Longxu Dou, Qingfu Zhu, Wanxiang Che |
| 2025 | EMNLP | Chart2Code53: A Large-Scale Diverse and Complex Dataset for Enhancing Chart-to-Code Generation. | Tianhao Niu, Yiming Cui, Baoxin Wang, Xiao Xu, Xin Yao, Qingfu Zhu, Dayong Wu, Shijin Wang, Wanxiang Che |
| 2025 | EMNLP | DAC: Decomposed Automation Correction for Text-to-SQL. | Dingzirui Wang, Longxu Dou, Xuanliang Zhang, Qingfu Zhu, Wanxiang Che |
| 2025 | EMNLP | 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 |
| 2025 | EMNLP | RoT: Enhancing Table Reasoning with Iterative Row-Wise Traversals. | Xuanliang Zhang, Dingzirui Wang, Keyan Xu, Qingfu Zhu, Wanxiang Che |
| 2025 | EMNLP | MULTITAT: Benchmarking Multilingual Table-and-Text Question Answering. | Xuanliang Zhang, Dingzirui Wang, Keyan Xu, Qingfu Zhu, Wanxiang Che |
| 2025 | KDD | Advancing Tool-Augmented Large Language Models via Meta-Verification and Reflection Learning. | Zhiyuan Ma, Jiayu Liu, Xianzhen Luo, Zhenya Huang, Qingfu Zhu, Wanxiang Che |
| 2025 | NAACL | 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 |
| 2024 | AAAI | 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 |
| 2024 | ACL | Exploring Hybrid Question Answering via Program-based Prompting. | Qi Shi, Han Cui, Haofeng Wang, Qingfu Zhu, Wanxiang Che, Ting Liu |
| 2024 | ACL | Enhancing Numerical Reasoning with the Guidance of Reliable Reasoning Processes. | Dingzirui Wang, Longxu Dou, Xuanliang Zhang, Qingfu Zhu, Wanxiang Che |
| 2024 | ACL | Improving Grammatical Error Correction via Contextual Data Augmentation. | Yixuan Wang, Baoxin Wang, Yijun Liu, Qingfu Zhu, Dayong Wu, Wanxiang Che |
| 2024 | ACL | 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 |
| 2024 | COLING | A Survey on Natural Language Processing for Programming. | Qingfu Zhu, Xianzhen Luo, Fang Liu, Cuiyun Gao, Wanxiang Che |
| 2024 | EMNLP | 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 |
| 2024 | EMNLP | 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 |
| 2024 | EMNLP | Improving Demonstration Diversity by Human-Free Fusing for Text-to-SQL. | Dingzirui Wang, Longxu Dou, Xuanliang Zhang, Qingfu Zhu, Wanxiang Che |
| 2024 | EMNLP | 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 |
| 2021 | ACL | Neural Stylistic Response Generation with Disentangled Latent Variables. | Qingfu Zhu, Wei-Nan Zhang, Ting Liu, William Yang Wang |
| 2020 | EMNLP | Counterfactual Off-Policy Training for Neural Dialogue Generation. | Qingfu Zhu, Wei-Nan Zhang, Ting Liu, William Yang Wang |
| 2019 | ACL | Retrieval-Enhanced Adversarial Training for Neural Response Generation. | Qingfu Zhu, Lei Cui, Weinan Zhang, Furu Wei, Ting Liu |
| 2018 | COLING | Context-Sensitive Generation of Open-Domain Conversational Responses. | Weinan Zhang, Yiming Cui, Yifa Wang, Qingfu Zhu, Lingzhi Li, Lianqiang Zhou, Ting Liu |