Multi-scale Information Diffusion Prediction with Reinforced Recurrent Networks

Cheng Yang, Jian Tang, Maosong Sun, +2

EngineeringMachine LearningSequential LearningCommunicationRecurrent Neural Network +15

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

Tianyu Yu, Yuan Yao, Haoye Zhang, +7

Full-Scale Information Diffusion Prediction With Reinforced Recurrent Networks

Cheng Yang, Hao Wang, Jian Tang, +4

IEEE Transactions on Neural Networks and Learning Systems

Graph Neural NetworkNetwork ScienceMachine LearningData ScienceReinforced Recurrent Networks +12

Exploring the Universal Vulnerability of Prompt-based Learning Paradigm

Lei Xu, Yangyi Chen, Ganqu Cui, +2

Findings of the Association for Computational Linguistics: NAACL 2022

Tool Learning with Foundation Models

Yujia Qin, Shengding Hu, Yankai Lin, +38

arXiv (Cornell University)

A Unified Evaluation of Textual Backdoor Learning: Frameworks and Benchmarks

Ganqu Cui, Lifan Yuan, Bingxiang He, +3

arXiv (Cornell University)

Artificial IntelligenceStructured PredictionAbuse DetectionEngineeringMachine Learning +19

Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversarial NLP

Yang‐Yi Chen, Hongcheng Gao, Ganqu Cui, +4

Artificial IntelligenceEngineeringMachine LearningEvasion TechniqueInformation Security +19

UltraFeedback: Boosting Language Models with Scaled AI Feedback

Ganqu Cui, Lifan Yuan, Ning Ding, +1

arXiv (Cornell University)

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

Shengding Hu, Yuge Tu, Xu Han, +22

arXiv (Cornell University)

Llm Fine-tuningEngineeringMachine LearningMultilingual PretrainingLarge Language Model +15

Machine-Learning-Driven Matrix Ordering for Power Grid Analysis

Ganqu Cui, Wenjian Yu, Xin Li, +2

Mathematical ProgrammingEngineeringMachine LearningData ScienceSmart Grid +11