Ganqu Cui
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
25
Venues
10
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
25 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | The Best of Both Worlds: Combining Parallel and Sequential Inference Scaling via Aggregation Fine-Tuning. | Yafu Li, Zhilin Wang, Tingchen Fu, Ganqu Cui, Sen Yang, Yu Cheng |
| 2026 | ACL | V-GameGym: Visual Game Generation for Code Large Language Models. | Wei Zhang, Jian Yang, Renshuai Tao, Linzheng Chai, Shuyue Guo, Jiajun Wu, Xiaoming Chen, Ganqu Cui, Ning Ding, Xander Xu, H. U. Wei, Bowen Zhou |
| 2025 | ACL | Fusing Highly Specialized Language Models for Comprehensive Expertise. | Ning Ding, Yulin Chen, Ganqu Cui, Xingtai Lv, Weilin Zhao, Kaiyan Zhang, Ruobing Xie, Bowen Zhou, Zhiyuan Liu, Maosong Sun |
| 2025 | ACL | The Right Time Matters: Data Arrangement Affects Zero-Shot Generalization in Instruction Tuning. | Bingxiang He, Ning Ding, Cheng Qian, Jia Deng, Ganqu Cui, Lifan Yuan, Haiwen Hong, Huan-ang Gao, Longtao Huang, Hui Xue, Huimin Chen, Zhiyuan Liu, Maosong Sun |
| 2025 | CVPR | RLAIF-V: Open-Source AI Feedback Leads to Super GPT-4V Trustworthiness. | Tianyu Yu, Haoye Zhang, Qiming Li, Qixin Xu, Yuan Yao, Da Chen, Xiaoman Lu, Ganqu Cui, Yunkai Dang, Taiwen He, Xiaocheng Feng, Jun Song, Bo Zheng, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun |
| 2025 | EMNLP | UltraIF: Advancing Instruction Following from the Wild. | Kaikai An, Li Sheng, Ganqu Cui, Shuzheng Si, Ning Ding, Yu Cheng, Baobao Chang |
| 2025 | ICLR | Advancing LLM Reasoning Generalists with Preference Trees. | Lifan Yuan, Ganqu Cui, Hanbin Wang, Ning Ding, Xingyao Wang, Boji Shan, Zeyuan Liu, Jia Deng, Huimin Chen, Ruobing Xie, Yankai Lin, Zhenghao Liu, Bowen Zhou, Hao Peng, Zhiyuan Liu, Maosong Sun |
| 2025 | ICML | Free Process Rewards without Process Labels. | Lifan Yuan, Wendi Li, Huayu Chen, Ganqu Cui, Ning Ding, Kaiyan Zhang, Bowen Zhou, Zhiyuan Liu, Hao Peng |
| 2024 | ACL | INTERVENOR: Prompting the Coding Ability of Large Language Models with the Interactive Chain of Repair. | Hanbin Wang, Zhenghao Liu, Shuo Wang, Ganqu Cui, Ning Ding, Zhiyuan Liu, Ge Yu |
| 2024 | CVPR | RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-Grained Correctional Human Feedback. | Tianyu Yu, Yuan Yao, Haoye Zhang, Taiwen He, Yifeng Han, Ganqu Cui, Jinyi Hu, Zhiyuan Liu, Hai-Tao Zheng, Maosong Sun |
| 2024 | EMNLP | Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment. | Yiju Guo, Ganqu Cui, Lifan Yuan, Ning Ding, Zexu Sun, Bowen Sun, Huimin Chen, Ruobing Xie, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun |
| 2024 | EMNLP | Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention. | Xingtai Lv, Ning Ding, Kaiyan Zhang, Ermo Hua, Ganqu Cui, Bowen Zhou |
| 2024 | ICML | ULTRAFEEDBACK: Boosting Language Models with Scaled AI Feedback. | Ganqu Cui, Lifan Yuan, Ning Ding, Guanming Yao, Bingxiang He, Wei Zhu, Yuan Ni, Guotong Xie, Ruobing Xie, Yankai Lin, Zhiyuan Liu, Maosong Sun |
| 2023 | ACL | From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework. | Yangyi Chen, Hongcheng Gao, Ganqu Cui, Lifan Yuan, Dehan Kong, Hanlu Wu, Ning Shi, Bo Yuan, Longtao Huang, Hui Xue, Zhiyuan Liu, Maosong Sun, Heng Ji |
| 2023 | ACL | A Close Look into the Calibration of Pre-trained Language Models. | Yangyi Chen, Lifan Yuan, Ganqu Cui, Zhiyuan Liu, Heng Ji |
| 2023 | ACL | Decoder Tuning: Efficient Language Understanding as Decoding. | Ganqu Cui, Wentao Li, Ning Ding, Longtao Huang, Zhiyuan Liu, Maosong Sun |
| 2023 | ACL | Few-shot Classification with Hypersphere Modeling of Prototypes. | Ning Ding, Yulin Chen, Ganqu Cui, Xiaobin Wang, Haitao Zheng, Zhiyuan Liu, Pengjun Xie |
| 2023 | EMNLP | Beat LLMs at Their Own Game: Zero-Shot LLM-Generated Text Detection via Querying ChatGPT. | Biru Zhu, Lifan Yuan, Ganqu Cui, Yangyi Chen, Chong Fu, Bingxiang He, Yangdong Deng, Zhiyuan Liu, Maosong Sun, Ming Gu |
| 2022 | ACL | Prototypical Verbalizer for Prompt-based Few-shot Tuning. | Ganqu Cui, Shengding Hu, Ning Ding, Longtao Huang, Zhiyuan Liu |
| 2022 | EMNLP | Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP. | Yangyi Chen, Hongcheng Gao, Ganqu Cui, Fanchao Qi, Longtao Huang, Zhiyuan Liu, Maosong Sun |
| 2022 | NAACL | Exploring the Universal Vulnerability of Prompt-based Learning Paradigm. | Lei Xu, Yangyi Chen, Ganqu Cui, Hongcheng Gao, Zhiyuan Liu |
| 2020 | ASPDAC | Capacitance Extraction and Power Grid Analysis Using Statistical and AI Methods. | Wenjian Yu, Ming Yang, Yao Feng, Ganqu Cui, Ben Gu |
| 2020 | KDD | Adaptive Graph Encoder for Attributed Graph Embedding. | Ganqu Cui, Jie Zhou, Cheng Yang, Zhiyuan Liu |
| 2019 | DATE | Machine-Learning-Driven Matrix Ordering for Power Grid Analysis. | Ganqu Cui, Wenjian Yu, Xin Li, Zhiyu Zeng, Ben Gu |
| 2019 | IJCAI | Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks. | Cheng Yang, Jian Tang, Maosong Sun, Ganqu Cui, Zhiyuan Liu |