Resolving Gender Biases in LLMs at Inference Time with Novel Dijkstra's-based K-Explorers Neural Network Traversal (KeNNT)

Hanav Modasiya. Resolving Gender Biases in LLMs at Inference Time with Novel Dijkstra's-based K-Explorers Neural Network Traversal (KeNNT). In Mourad Abbas, Abed Alhakim Freihat, editors, Proceedings of the 7th International Conference on Natural Language and Speech Processing, ICNLSP 2024, Trento, Italy, October 19-20, 2024. pages 267-278, Association for Computational Linguistics, 2024. [doi]

@inproceedings{Modasiya24,
  title = {Resolving Gender Biases in LLMs at Inference Time with Novel Dijkstra's-based K-Explorers Neural Network Traversal (KeNNT)},
  author = {Hanav Modasiya},
  year = {2024},
  url = {https://aclanthology.org/2024.icnlsp-1.29},
  researchr = {https://researchr.org/publication/Modasiya24},
  cites = {0},
  citedby = {0},
  pages = {267-278},
  booktitle = {Proceedings of the 7th International Conference on Natural Language and Speech Processing, ICNLSP 2024, Trento, Italy, October 19-20, 2024},
  editor = {Mourad Abbas and Abed Alhakim Freihat},
  publisher = {Association for Computational Linguistics},
  isbn = {979-8-89176-165-0},
}