Fetching the paper…
Reading the bibliography…
This study explores the use of Large Language Models (LLMs) for automatic evaluation of knowledge graph (KG) completion models.
1907
Earlier work this paper cites.
1908
Earlier work this paper cites.
1909
Earlier work this paper cites.
L. Yao, C. Mao, Y. Luo, Kg-bert: Bert for knowledge graph completion, 2019. arXiv:1909.03193
1909
Earlier work this paper cites.
R. Reiter, On closed world data bases, 1977
1977
Earlier work this paper cites.
Wordnet: a lexical database for english,
G. A. Miller, · 1995
Earlier work this paper cites.
C. F. Baker, C. J. Fillmore, J. B. Lowe, The berkeley framenet project, 1998
1998
Earlier work this paper cites.
The unified medical language system (umls): integrating biomedical terminology,
O. Bodenreider, · 2004
Earlier work this paper cites.
2005
Earlier work this paper cites.
E. Huaman, E. Kärle, D. Fensel, Knowledge graph validation, 2020. arXiv:2005.01389
2005
Earlier work this paper cites.
Freebase: a collaboratively created graph database for structuring human knowledge,
K. Bollacker, C. Evans, P. Paritosh, T. Sturge, J. Taylor, · 2008
Earlier work this paper cites.
H. Ji, R. Grishman, H. T. Dang, K. Griffitt, J. Ellis, Overview of the tac 2010 knowledge base population track, 2010. URL: https://blender.cs.illinois.edu/paper/kbp2011.pdf
2010
Earlier work this paper cites.
Wordnet,
C. Fellbaum, · 2010
Earlier work this paper cites.
2010
Earlier work this paper cites.
Knowledge base population: Successful approaches and challenges,
H. Ji, R. Grishman, · 2011
Earlier work this paper cites.
J. Mayfield, T. W. Finin, Evaluating the quality of a knowledge base populated from text, 2012. URL: https://api.semanticscholar.org/CorpusID:1851959
2012
Earlier work this paper cites.
2012
Earlier work this paper cites.
Wikidata: a free collaborative knowledgebase,
D. Vrandečić, M. Krötzsch, · 2014
Earlier work this paper cites.
Knowledge vault: a web-scale approach to probabilistic knowledge fusion,
X. Dong, E. Gabrilovich, G. Heitz, W. Horn, N. Lao, K. Murphy, T. Strohmann, S. Sun, W. Zhang, · 2014
Earlier work this paper cites.
T. Mitchell, W. Cohen, E. Hruschka, P. Talukdar, J. Betteridge, A. Carlson, B. Dalvi, M. Gardner, B. Kisiel, J. Krishnamurthy, N. Lao, K. Mazaitis, T. Mohamed, N. Nakashole, E. Platanios, A. Ritter, M. Samadi, B. Settles, R. Wang, D. Wijaya, A. Gupta, X. Chen, A. Saparov, M. Greaves, J. Welling, Never-ending learning, 2015
2015
Earlier work this paper cites.
R. Angles, The property graph database model, 2018. URL: https://api.semanticscholar.org/CorpusID:43977243
2018
Earlier work this paper cites.
A. Radford, K. Narasimhan, Improving language understanding by generative pre-training, 2018. URL: https://api.semanticscholar.org/CorpusID:49313245
2018
Cited alongside, same era.
2018
Cited alongside, same era.
Content enhanced bert-based text-to-sql generation,
T. Guo, H. Gao, · 2019
Cited alongside, same era.
Knowledge graph completion: A review,
Z. Chen, Y. Wang, B. Zhao, J. Cheng, X. Zhao, Z. Duan, · 2020
Cited alongside, same era.
A re-evaluation of knowledge graph completion methods,
Z. Sun, S. Vashishth, S. Sanyal, P. Talukdar, Y. Yang, · 2020
Cited alongside, same era.
2023
Later among the works it cites.
2023
Later among the works it cites.
Llm2kb: Constructing knowledge bases using instruction tuned context aware large language models,
A. Nayak, H. P. Timmapathini, · 2023
Later among the works it cites.
Text2kgbench: A benchmark for ontology-driven knowledge graph generation from text,
N. Mihindukulasooriya, S. Tiwari, C. F. Enguix, K. Lata, · 2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Pretrain-KGE: Learning knowledge representation from pretrained language models,
Z. Zhang, X. Liu, Y. Zhang, Q. Su, X. Sun, B. He, · 2020
Cited alongside, same era.
Natural language to sql: where are we today?,
H. Kim, B.-H. So, W.-S. Han, H. Lee, · 2020
Cited alongside, same era.
CoDEx: A Comprehensive Knowledge Graph Completion Benchmark,
T. Safavi, D. Koutra, · 2020
Cited alongside, same era.
2021
Cited alongside, same era.
2021
Cited alongside, same era.
On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?,
E. M. Bender, T. Gebru, A. McMillan-Major, S. Shmitchell, · 2021
Cited alongside, same era.
Data centre water consumption,
D. Mytton, · 2021
Cited alongside, same era.
Survey of hallucination in natural language generation,
Z. Ji, N. Lee, R. Frieske, T. Yu, D. Su, Y. Xu, E. Ishii, Y. J. Bang, A. Madotto, P. Fung, · 2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
2023
Later among the works it cites.
2024
Closest in time.
2024
Closest in time.
OpenAI, :, J. Achiam, S. A. et al., Gpt-4 technical report, 2024. arXiv:2303.08774
2024
Closest in time.
Unifying large language models and knowledge graphs: A roadmap,
S. Pan, L. Luo, Y. Wang, C. Chen, J. Wang, X. Wu, · 2024
Closest in time.
2024
Closest in time.
2024
Closest in time.
A. Q. Jiang, A. Sablayrolles, A. R. et al., Mixtral of experts, 2024. arXiv:2401.04088
2024
Closest in time.
2024
Closest in time.
2024
Closest in time.
Wikimedia Foundation, Wikimedia statistics - wikidata, https://stats.wikimedia.org/ , 2024. Accessed: 2024-03-07
2024
Closest in time.
Tom Jobbins, Thebloke/llama-2-70b-chat-gguf, https://huggingface.co/TheBloke/Llama-2-70B-Chat-GGUF/ , 2023. Accessed: 2024-03-13
2024
Closest in time.
G. Gerganov, gguf.md, https://github.com/ggerganov/ggml/blob/master/docs/gguf.md , 2023. Accessed: [2024-03-15]
2024
Closest in time.