APA (7th ed.) Citation

Yeleussinov, A., Buribayev, Z., Beisov, N., Kalzhanov, N., Satymbekov, M., Akhatov, U., & Alimkulov, Y. (2026). Fine-Tuning Qwen3 Models for the Legal Domain of Kazakhstan: A Comparative Study of LoRA-Adapted Models for Bilingual Legal Question Answering. Applied Sciences (2076-3417), 16(13), 6777. https://doi.org/10.3390/app16136777

Chicago Style (17th ed.) Citation

Yeleussinov, Arman, Zholdas Buribayev, Nurbol Beisov, Nurlykhan Kalzhanov, Maxatbek Satymbekov, Ualikhan Akhatov, and Yerbol Alimkulov. "Fine-Tuning Qwen3 Models for the Legal Domain of Kazakhstan: A Comparative Study of LoRA-Adapted Models for Bilingual Legal Question Answering." Applied Sciences (2076-3417) 16, no. 13 (2026): 6777. https://doi.org/10.3390/app16136777.

MLA (9th ed.) Citation

Yeleussinov, Arman, et al. "Fine-Tuning Qwen3 Models for the Legal Domain of Kazakhstan: A Comparative Study of LoRA-Adapted Models for Bilingual Legal Question Answering." Applied Sciences (2076-3417), vol. 16, no. 13, 2026, p. 6777, https://doi.org/10.3390/app16136777.