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Qinkai Yu
Tytuł
Cytowane przez
Cytowane przez
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The impact of reasoning step length on large language models
M Jin*, Q Yu*, H Zhao, W Hua, Y Meng, Y Zhang, M Du
ACL Findings 2024, 2024
66*2024
Health-LLM: Personalized Retrieval-Augmented Disease Prediction Model
M Jin*, Q Yu*, C Zhang, D Shu, S Zhu, M Du, Y Zhang, Y Meng
arXiv preprint arXiv:2402.00746, 2024
42*2024
Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers?
M Jin*, Q Yu*, J Huang*, Q Zeng, Z Wang, W Hua, H Zhao, K Mei, Y Meng, ...
International Conference on Computational Linguistics (COLING), 2024
37*2024
Time series forecasting with llms: Understanding and enhancing model capabilities
H Tang, C Zhang, M Jin, Q Yu, Z Wang, X Jin, Y Zhang, M Du
ACM SIGKDD Explorations Newsletter, 2024
202024
Uncertainty is fragile: Manipulating uncertainty in large language models
Q Zeng, M Jin, Q Yu, Z Wang, W Hua, Z Zhou, G Sun, Y Meng, S Ma, ...
arXiv preprint arXiv:2407.11282, 2024
102024
Goal-guided Generative Prompt Injection Attack on Large Language Models
C Zhang, M Jin, Q Yu, C Liu, H Xue, X Jin
IEEE International Conference on Data Mining, 2024
72024
A Simple and Effective Baseline for Attentional Generative Adversarial Networks
M Jin, C Zhang, Q Yu, H Xue, X Jin, X Yang
International Conference on Neural Information Processing, 2023
22023
CLIP-DR: Textual Knowledge-Guided Diabetic Retinopathy Grading with Ranking-aware Prompting
Q Yu, J Xie, A Nguyen, H Zhao, J Zhang, H Fu, Y Zhao, Y Zheng, Y Meng
MICCAI 2024, 2024
12024
Bridging the Projection Gap: Overcoming Projection Bias Through Parameterized Distance Learning
C Zhang, M Jin, Q Yu, H Xue, SN Gowda, X Jin
Proceedings of the Asian Conference on Computer Vision, 3327-3343, 2024
1*2024
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