Qinkai Yu

According to our database, Qinkai Yu authored at least 7 papers between 2023 and 2024.

Collaborative distances:

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

2024

Goal-guided Generative Prompt Injection Attack on Large Language Models.

Chong Zhang, Mingyu Jin, Qinkai Yu, Chengzhi Liu, Haochen Xue, Xiaobo Jin

CoRR, 2024

Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers?

Mingyu Jin, Qinkai Yu, Jingyuan Huang, Qingcheng Zeng, Zhenting Wang, Wenyue Hua, Haiyan Zhao, Kai Mei, Yanda Meng, Kaize Ding, Fan Yang, Mengnan Du, Yongfeng Zhang

CoRR, 2024

Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities.

Mingyu Jin, Hua Tang, Chong Zhang, Qinkai Yu, Chengzhi Liu, Suiyuan Zhu, Yongfeng Zhang, Mengnan Du

CoRR, 2024

Health-LLM: Personalized Retrieval-Augmented Disease Prediction System.

Mingyu Jin, Qinkai Yu, Dong Shu, Chong Zhang, Lizhou Fan, Wenyue Hua, Suiyuan Zhu, Yanda Meng, Zhenting Wang, Mengnan Du, Yongfeng Zhang, Yanda Meng

CoRR, 2024

The Impact of Reasoning Step Length on Large Language Models.

Mingyu Jin, Qinkai Yu, Dong Shu, Haiyan Zhao, Wenyue Hua, Yanda Meng, Yongfeng Zhang, Mengnan Du

CoRR, 2024

2023

Metric Learning for Projections Bias of Generalized Zero-shot Learning.

Chong Zhang, Mingyu Jin, Qinkai Yu, Haochen Xue, Xiaobo Jin

CoRR, 2023

A Simple and Effective Baseline for Attentional Generative Adversarial Networks.

Mingyu Jin, Chong Zhang, Qinkai Yu, Haochen Xue, Xiaobo Jin, Xi Yang

CoRR, 2023