Cui, Ganqu

Graph neural networks: A review of methods and applications

Zhou, J., Cui, G., Hu, S., Zhang, Z., Yang, C., Liu, Z., Wang, L., Li, C., & Sun, M. (2020) · AI Open

Advanced Graph Neural NetworksGraph Theory and Algorithms

Cited by 6,880

Graph Neural Networks: A Review of Methods and Applications

Zhou, J., Cui, G., Hu, S., Zhang, Z., Yang, C., Liu, Z., Wang, L., Li, C., & Sun, M. (2018) · arXiv

Advanced Graph Neural NetworksGraph Theory and Algorithms

Cited by 6,880

Tool Learning with Foundation Models

Qin, Y., Hu, S., Lin, Y., Chen, W., Ding, N., Cui, G., Zeng, Z., Huang, Y., Xiao, C., Han, C., et al. (2023) · arXiv

AI-based Problem Solving and PlanningArtificial Intelligence Applications

Cited by 184

RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback

Yu, T., Yao, Y., Zhang, H., He, T., Han, Y., Cui, G., Hu, J., Liu, Z., Zheng, H.-T., Sun, M., et al. (2023) · arXiv

Multimodal Machine Learning ApplicationsNatural Language Processing Techniques

Cited by 117

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

Hu, S., Tu, Y., Han, X., He, C., Cui, G., Long, X., Zheng, Z., Fang, Y., Huang, Y., Zhao, W., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 28

UltraFeedback: Boosting Language Models with Scaled AI Feedback

Cui, G., Yuan, L., Ding, N., Yao, G., He, B., Zhu, W., Ni, Y., Xie, G., Xie, R., Lin, Y., et al. (2023) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 23

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

Chen, Y., Yuan, L., Cui, G., Liu, Z., & Ji, H. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 22

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

Chen, Y., Yuan, L., Cui, G., Liu, Z., & Ji, H. (2022) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 18

Beat LLMs at their own game: Zero-shot LLM-generated text detection via querying ChatGPT

Zhu, B., Yuan, L., Cui, G., Chen, Y., Fu, C., He, B., Deng, Y., Liu, Z., Sun, M., & Gu, M. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing

Authorship Attribution and ProfilingTopic Modeling

Cited by 16

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

Yuan, L., Chen, Y., Cui, G., Gao, H., Zou, F., Cheng, X., Ji, H., Liu, Z., & Sun, M. (2023) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 8

Learning to Reason under Off-Policy Guidance

Yan, J., Li, Y., Hu, Z., Wang, Z., Cui, G., Qu, X., Cheng, Y., & Zhang, Y. (2025) · arXiv

Reinforcement Learning in RoboticsMachine Learning and Algorithms

Cited by 7

TTRL: Test-Time Reinforcement Learning

Zuo, Y., Zhang, K., Sheng, L., Qu, S., Cui, G., Zhu, X., Li, H., Zhang, Y., Long, X., Hua, E., et al. (2025) · arXiv

Topic ModelingReinforcement Learning in Robotics

Cited by 7

Process Reinforcement through Implicit Rewards

Cui, G., Yuan, L., Wang, Z., Wang, H., Zhang, Y., Chen, J., Li, W., He, B., Fan, Y., Yu, T., et al. (2025) · arXiv

Reinforcement Learning in RoboticsTopic Modeling

Cited by 3

The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models

Cui, G., Zhang, Y., Chen, J., Yuan, L., Wang, Z., Zuo, Y., Li, H., Fan, Y., Chen, H., Chen, W., et al. (2025) · arXiv

Reinforcement Learning in RoboticsTopic Modeling

Cited by 1