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This paper presents an exhaustive quantitative and qualitative evaluation of Large Language Models (LLMs) for Knowledge Graph (KG) construction and reasoning.
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Jiang, P., Lin, J., Wang, Z., Sun, J., Han, J.: GenRES: Rethinking evaluation for generative relation extraction in the era of large language models. In: Duh, K., Gomez, H., Bethard, S. (eds.) Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), pp. 2820–2837. Association for Computational Linguistics, Mexico City, Mexico (2024). https://aclanthology.org/2024.naacl-long.155
2024
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Shu, D., Chen, T., Jin, M., Zhang, Y., Zhang, C., Du, M., Zhang, Y.: Knowledge graph large language model (KG-LLM) for link prediction. CoRR (2024) https://doi.org/10.48550/ARXIV.2403.07311
2024
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