SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-Based Reasoning Tasks

Cite

Text

Wan et al. "SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-Based Reasoning Tasks." AAAI Conference on Artificial Intelligence, 2025. doi:10.1609/AAAI.V39I14.33666

Markdown

[Wan et al. "SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-Based Reasoning Tasks." AAAI Conference on Artificial Intelligence, 2025.](https://mlanthology.org/aaai/2025/wan2025aaai-sr/) doi:10.1609/AAAI.V39I14.33666

BibTeX

@inproceedings{wan2025aaai-sr,
  title     = {{SR-FoT: A Syllogistic-Reasoning Framework of Thought for Large Language Models Tackling Knowledge-Based Reasoning Tasks}},
  author    = {Wan, Wentao and Yang, Zhuojie and Chen, Yongcan and Luo, Chenglin and Wang, Ruilin and Cai, Kehao and Kang, Nan and Lin, Liang and Wang, Keze},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2025},
  pages     = {15186-15194},
  doi       = {10.1609/AAAI.V39I14.33666},
  url       = {https://mlanthology.org/aaai/2025/wan2025aaai-sr/}
}