Ganqu Cui

According to our database, Ganqu Cui authored at least 38 papers between 2018 and 2024.

Collaborative distances:

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

2024

Free Process Rewards without Process Labels.

Lifan Yuan, Wendi Li, Huayu Chen, Ganqu Cui, Ning Ding, Kai Zhang, Bowen Zhou, Zhiyuan Liu, Hao Peng

CoRR, 2024

Zero-Shot Generalization during Instruction Tuning: Insights from Similarity and Granularity.

Bingxiang He, Ning Ding, Cheng Qian, Jia Deng, Ganqu Cui, Lifan Yuan, Huan-ang Gao, Huimin Chen, Zhiyuan Liu, Maosong Sun

CoRR, 2024

UltraMedical: Building Specialized Generalists in Biomedicine.

Kaiyan Zhang, Sihang Zeng, Ermo Hua, Ning Ding, Zhang-Ren Chen, Zhiyuan Ma, Haoxin Li, Ganqu Cui, Biqing Qi, Xuekai Zhu, Xingtai Lv, Jinfang Hu, Zhiyuan Liu, Bowen Zhou

CoRR, 2024

RLAIF-V: Aligning MLLMs through Open-Source AI Feedback for Super GPT-4V Trustworthiness.

Tianyu Yu, Haoye Zhang, Yuan Yao, Yunkai Dang, Da Chen, Xiaoman Lu, Ganqu Cui, Taiwen He, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun

CoRR, 2024

MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies.

Shengding Hu, Yuge Tu, Xu Han, Chaoqun He, Ganqu Cui, Xiang Long, Zhi Zheng, Yewei Fang, Yuxiang Huang, Weilin Zhao, Xinrong Zhang, Zhen Leng Thai, Kai Zhang, Chongyi Wang, Yuan Yao, Chenyang Zhao, Jie Zhou, Jie Cai, Zhongwu Zhai, Ning Ding, Chao Jia, Guoyang Zeng, Dahai Li, Zhiyuan Liu, Maosong Sun

CoRR, 2024

Advancing LLM Reasoning Generalists with Preference Trees.

Lifan Yuan, Ganqu Cui, Hanbin Wang, Ning Ding, Xingyao Wang, Jia Deng, Boji Shan, Huimin Chen, Ruobing Xie, Yankai Lin, Zhenghao Liu, Bowen Zhou, Hao Peng, Zhiyuan Liu, Maosong Sun

CoRR, 2024

Mastering Text, Code and Math Simultaneously via Fusing Highly Specialized Language Models.

Ning Ding, Yulin Chen, Ganqu Cui, Xingtai Lv, Weilin Zhao, Ruobing Xie, Bowen Zhou, Zhiyuan Liu, Maosong Sun

CoRR, 2024

Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment.

Yiju Guo, Ganqu Cui, Lifan Yuan, Ning Ding, Jiexin Wang, Huimin Chen, Bowen Sun, Ruobing Xie, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun

CoRR, 2024

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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention.

Xingtai Lv, Ning Ding, Kaiyan Zhang, Ermo Hua, Ganqu Cui, Bowen Zhou

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

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

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

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

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

2023

Full-Scale Information Diffusion Prediction With Reinforced Recurrent Networks.

Cheng Yang, Hao Wang, Jian Tang, Chuan Shi, Maosong Sun, Ganqu Cui, Zhiyuan Liu

IEEE Trans. Neural Networks Learn. Syst., May, 2023

Removing Backdoors in Pre-trained Models by Regularized Continual Pre-training.

Biru Zhu, Ganqu Cui, Yangyi Chen, Yujia Qin, Lifan Yuan, Chong Fu, Yangdong Deng, Zhiyuan Liu, Maosong Sun, Ming Gu

Trans. Assoc. Comput. Linguistics, 2023

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, Tat-Seng Chua

CoRR, 2023

INTERVENOR: Prompt the Coding Ability of Large Language Models with the Interactive Chain of Repairing.

Hanbin Wang, Zhenghao Liu, Shuo Wang, Ganqu Cui, Ning Ding, Zhiyuan Liu, Ge Yu

CoRR, 2023

UltraFeedback: Boosting Language Models with High-quality Feedback.

Ganqu Cui, Lifan Yuan, Ning Ding, Guanming Yao, Wei Zhu, Yuan Ni, Guotong Xie, Zhiyuan Liu, Maosong Sun

CoRR, 2023

Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations.

Lifan Yuan, Yangyi Chen, Ganqu Cui, Hongcheng Gao, Fangyuan Zou, Xingyi Cheng, Heng Ji, Zhiyuan Liu, Maosong Sun

CoRR, 2023

Tool Learning with Foundation Models.

Yujia Qin, Shengding Hu, Yankai Lin, Weize Chen, Ning Ding, Ganqu Cui, Zheni Zeng, Yufei Huang, Chaojun Xiao, Chi Han, Yi Ren Fung, Yusheng Su, Huadong Wang, Cheng Qian, Runchu Tian, Kunlun Zhu, Shihao Liang, Xingyu Shen, Bokai Xu, Zhen Zhang, Yining Ye, Bowen Li, Ziwei Tang, Jing Yi, Yuzhang Zhu, Zhenning Dai, Lan Yan, Xin Cong, Yaxi Lu, Weilin Zhao, Yuxiang Huang, Junxi Yan, Xu Han, Xian Sun, Dahai Li, Jason Phang, Cheng Yang, Tongshuang Wu, Heng Ji, Zhiyuan Liu, Maosong Sun

CoRR, 2023

Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evaluations.

Lifan Yuan, Yangyi Chen, Ganqu Cui, Hongcheng Gao, Fangyuan Zou, Xingyi Cheng, Heng Ji, Zhiyuan Liu, Maosong Sun

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Few-shot Classification with Hypersphere Modeling of Prototypes.

Ning Ding, Yulin Chen, Ganqu Cui, Xiaobin Wang, Haitao Zheng, Zhiyuan Liu, Pengjun Xie

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Decoder Tuning: Efficient Language Understanding as Decoding.

Ganqu Cui, Wentao Li, Ning Ding, Longtao Huang, Zhiyuan Liu, Maosong Sun

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

A Close Look into the Calibration of Pre-trained Language Models.

Yangyi Chen, Lifan Yuan, Ganqu Cui, Zhiyuan Liu, Heng Ji

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

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

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Moderate-fitting as a Natural Backdoor Defender for Pre-trained Language Models.

Biru Zhu, Yujia Qin, Ganqu Cui, Yangyi Chen, Weilin Zhao, Chong Fu, Yangdong Deng, Zhiyuan Liu, Jingang Wang, Wei Wu, Maosong Sun, Ming Gu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks.

Ganqu Cui, Lifan Yuan, Bingxiang He, Yangyi Chen, Zhiyuan Liu, Maosong Sun

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Exploring the Universal Vulnerability of Prompt-based Learning Paradigm.

Lei Xu, Yangyi Chen, Ganqu Cui, Hongcheng Gao, Zhiyuan Liu

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

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

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Prototypical Verbalizer for Prompt-based Few-shot Tuning.

Ganqu Cui, Shengding Hu, Ning Ding, Longtao Huang, Zhiyuan Liu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Evaluating Modules in Graph Contrastive Learning.

Ganqu Cui, Yufeng Du, Cheng Yang, Jie Zhou, Liang Xu, Lifeng Wang, Zhiyuan Liu

CoRR, 2021

2020

Graph neural networks: A review of methods and applications.

Jie Zhou, Ganqu Cui, Shengding Hu, Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Lifeng Wang, Changcheng Li, Maosong Sun

AI Open, 2020

Adaptive Graph Encoder for Attributed Graph Embedding.

Ganqu Cui, Jie Zhou, Cheng Yang, Zhiyuan Liu

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Capacitance Extraction and Power Grid Analysis Using Statistical and AI Methods.

Wenjian Yu, Ming Yang, Yao Feng, Ganqu Cui, Ben Gu

Proceedings of the 25th Asia and South Pacific Design Automation Conference, 2020

2019

Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks.

Cheng Yang, Jian Tang, Maosong Sun, Ganqu Cui, Zhiyuan Liu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Machine-Learning-Driven Matrix Ordering for Power Grid Analysis.

Ganqu Cui, Wenjian Yu, Xin Li, Zhiyu Zeng, Ben Gu

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018

Graph Neural Networks: A Review of Methods and Applications.

Jie Zhou, Ganqu Cui, Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, Maosong Sun

CoRR, 2018