Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-Based Model Optimizers

Cite

Text

Tang et al. "Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-Based Model Optimizers." AAAI Conference on Artificial Intelligence, 2025. doi:10.1609/AAAI.V39I24.34713

Markdown

[Tang et al. "Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-Based Model Optimizers." AAAI Conference on Artificial Intelligence, 2025.](https://mlanthology.org/aaai/2025/tang2025aaai-unleashing/) doi:10.1609/AAAI.V39I24.34713

BibTeX

@inproceedings{tang2025aaai-unleashing,
  title     = {{Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-Based Model Optimizers}},
  author    = {Tang, Xinyu and Wang, Xiaolei and Zhao, Wayne Xin and Lu, Siyuan and Li, Yaliang and Wen, Ji-Rong},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2025},
  pages     = {25264-25272},
  doi       = {10.1609/AAAI.V39I24.34713},
  url       = {https://mlanthology.org/aaai/2025/tang2025aaai-unleashing/}
}