Project SHADOW: Symbolic Higher-order Associative Deductive reasoning On Wikidata using LM probing
<|reference_start|>Project SHADOW: Symbolic Higher-order Associative Deductive reasoning On Wikidata using LM probing: We introduce SHADOW, a fine-tuned language model trained on an intermediate task using associative deductive reasoning, and measure its performance on a knowledge base construction task using Wikidata triple completion. We evaluate SHADOW on the LM-KBC 2024 challenge and show that it outperforms the baseline solution by 20% with a F1 score of 68.72%.<|reference_end|>
@article{akl2024project,
    title={Project SHADOW: Symbolic Higher-order Associative Deductive reasoning On
  Wikidata using LM probing},
    author={Hanna Abi Akl},
    journal={arXiv preprint arXiv:2408.14849},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.14849},
    primaryClass={cs.CL cs.AI}
}