| Llama 大模型实践指南 | Llama Large Model Practice Guide |
Published in 电子工业出版社 | Publishing House of Electronics Industry, 2024
| 全面介绍Llama大模型的中文实践指南 | Comprehensive Chinese guide to Llama large models |
Recommended citation: 张俊祺、曲东奇、张正、占冰强. (2024). "Llama 大模型实践指南" 电子工业出版社.
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Published in To be published | 待发表, 2025
| Efficient federated learning for large language models | 大语言模型的高效联邦学习 |
Recommended citation: Yongle Li, Bo Liu, Sheng Huang, Zheng Zhang, Xiaotong Yuan, Richang Hong. (2024). "Communication-Efficient and Personalized Federated LLM Fine-Tuning via Tri-Matrix Adaptation"
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| Unveiling Uncertainty: Calibration and Performance of Multimodal Large Language Models | 揭示不确定性：多模态大语言模型的校准与性能 |
Published in Proceedings of the 31st International Conference on Computational Linguistics | 第31届国际计算语言学会议, 2025
| Analyzing uncertainty in multimodal LLMs | 多模态大语言模型的不确定性分析 |
Recommended citation: Zijun Chen, Wenbo Hu, Guande He, Zhijie Deng, Zheng Zhang, Richang Hong. (2024). "Unveiling Uncertainty: Calibration and Performance of Multimodal Large Language Models"
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Published in The 7th Chinese Conference on Pattern Recognition and Computer Vision (PRCV 2024) | 第七届中国模式识别与计算机视觉大会, 2024
| Enhancing LLMs with tool utilization capabilities | 增强大语言模型的工具使用能力 |
Recommended citation: Yongle Li, Zheng Zhang, Junqi Zhang, Wenbo Hu, Yongyu Wu, Richang Hong. (2024). "AtomTool: Empowering Large Language Models with Tool Utilization Skills" PRCV 2024.
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