Selecting from Multiple Strategies Improves the Foreseeable Reasoning of Tool-Augmented Large Language Models

Wu and Henriksson. "Selecting from Multiple Strategies Improves the Foreseeable Reasoning of Tool-Augmented Large Language Models." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024. doi:10.1007/978-3-031-70352-2_12

[Wu and Henriksson. "Selecting from Multiple Strategies Improves the Foreseeable Reasoning of Tool-Augmented Large Language Models." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2024.](https://mlanthology.org/ecmlpkdd/2024/wu2024ecmlpkdd-selecting/) doi:10.1007/978-3-031-70352-2_12

@inproceedings{wu2024ecmlpkdd-selecting,
  title     = {{Selecting from Multiple Strategies Improves the Foreseeable Reasoning of Tool-Augmented Large Language Models}},
  author    = {Wu, Yongchao and Henriksson, Aron},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2024},
  pages     = {197-212},
  doi       = {10.1007/978-3-031-70352-2_12},
  url       = {https://mlanthology.org/ecmlpkdd/2024/wu2024ecmlpkdd-selecting/}
}