DSTI at LLMs4OL 2024 Task A: Intrinsic versus extrinsic knowledge for type classification
<|reference_start|>DSTI at LLMs4OL 2024 Task A: Intrinsic versus extrinsic knowledge for type classification: We introduce semantic towers, an extrinsic knowledge representation method, and compare it to intrinsic knowledge in large language models for ontology learning. Our experiments show a trade-off between performance and semantic grounding for extrinsic knowledge compared to a fine-tuned model intrinsic knowledge. We report our findings on the Large Language Models for Ontology Learning (LLMs4OL) 2024 challenge.<|reference_end|>
@article{akl2024dsti,
    title={DSTI at LLMs4OL 2024 Task A: Intrinsic versus extrinsic knowledge for
  type classification},
    author={Hanna Abi Akl},
    journal={arXiv preprint arXiv:2408.14236},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.14236},
    primaryClass={cs.CL cs.AI cs.LG}
}