Wu, H.; Hong, H.; Mao, J.; Yin, Z.; Wu, Y.; Bai, X.; Sun, L.; Pu, M.; Liu, J.; Li, Y.
Forging Robust Cognition Resilience in Large Language Models: The Self-Correction Reflection Paradigm Against Input Perturbations. Appl. Sci. 2025, 15, 5041.
https://doi.org/10.3390/app15095041
AMA Style
Wu H, Hong H, Mao J, Yin Z, Wu Y, Bai X, Sun L, Pu M, Liu J, Li Y.
Forging Robust Cognition Resilience in Large Language Models: The Self-Correction Reflection Paradigm Against Input Perturbations. Applied Sciences. 2025; 15(9):5041.
https://doi.org/10.3390/app15095041
Chicago/Turabian Style
Wu, Hua, Haotian Hong, Jiayu Mao, Zhexun Yin, Yanxiong Wu, Xiaojing Bai, Li Sun, Mengyang Pu, Juncheng Liu, and Yihuan Li.
2025. "Forging Robust Cognition Resilience in Large Language Models: The Self-Correction Reflection Paradigm Against Input Perturbations" Applied Sciences 15, no. 9: 5041.
https://doi.org/10.3390/app15095041
APA Style
Wu, H., Hong, H., Mao, J., Yin, Z., Wu, Y., Bai, X., Sun, L., Pu, M., Liu, J., & Li, Y.
(2025). Forging Robust Cognition Resilience in Large Language Models: The Self-Correction Reflection Paradigm Against Input Perturbations. Applied Sciences, 15(9), 5041.
https://doi.org/10.3390/app15095041
