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Recently decades have witnessed the empirical success of framing Knowledge Graph (KG) embeddings via language models.
KG-BERT: BERT for Knowledge Graph Completion
Yao, L.; Mao, C.; and Luo, Y. 2019 · 1909
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A Three-Way Model for Collective Learning on Multi-Relational Data
Nickel, M.; Tresp, V.; and Kriegel, H. 2011 · 2011
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Translating Embeddings for Modeling Multi-relational Data
Bordes, A.; Usunier, N.; García-Durán, A.; Weston, J.; and Yakhnenko, O. 2013 · 2013
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Knowledge Graph Embedding by Translating on Hyperplanes
Wang, Z.; Zhang, J.; Feng, J.; and Chen, Z. 2014 · 2014
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Learning Entity and Relation Embeddings for Knowledge Graph Completion
Lin, Y.; Liu, Z.; Sun, M.; Liu, Y.; and Zhu, X. 2015 · 2015
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Representing Text for Joint Embedding of Text and Knowledge Bases
Toutanova, K.; Chen, D.; Pantel, P.; Poon, H.; Choudhury, P.; and Gamon, M. 2015 · 2015
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Embedding Entities and Relations for Learning and Inference in Knowledge Bases
Yang, B.; Yih, W.; He, X.; Gao, J.; and Deng, L. 2015 · 2015
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Holographic Embeddings of Knowledge Graphs
Nickel, M.; Rosasco, L.; and Poggio, T. A. 2016 · 2016
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Representation Learning of Knowledge Graphs with Entity Descriptions
Xie, R.; Liu, Z.; Jia, J.; Luan, H.; and Sun, M. 2016 · 2016
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Semi-Supervised Classification with Graph Convolutional Networks
Kipf, T. N.; and Welling, M. 2017 · 2017
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Knowledge Graph Embedding: A Survey of Approaches and Applications
Wang, Q.; Mao, Z.; Wang, B.; and Guo, L. 2017 · 2017
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Convolutional 2D Knowledge Graph Embeddings
Dettmers, T.; Minervini, P.; Stenetorp, P.; and Riedel, S. 2018 · 2018
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Graph Attention Networks
Velickovic, P.; Cucurull, G.; Casanova, A.; Romero, A.; Liò, P.; and Bengio, Y. 2018 · 2018
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Devlin, J.; Chang, M.; Lee, K.; and Toutanova, K. 2019 · 2019
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Language Models as Knowledge Bases?
Petroni, F.; Rocktäschel, T.; Riedel, S.; Lewis, P. S. H.; Bakhtin, A.; Wu, Y.; and Miller, A. H. 2019 · 2019
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RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space
Sun, Z.; Deng, Z.; Nie, J.; and Tang, J. 2019 · 2019
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Language Models are Few-Shot Learners
Brown, T. B.; and et al. 2020 · 2020
Cited alongside, same era.
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
Lewis, M.; Liu, Y.; Goyal, N.; Ghazvininejad, M.; Mohamed, A.; Levy, O.; Stoyanov, V.; and Zettlemoyer, L. 2020 · 2020
Cited alongside, same era.
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Raffel, C.; Shazeer, N.; Roberts, A.; Lee, K.; Narang, S.; Matena, M.; Zhou, Y.; Li, W.; and Liu, P. J. 2020 · 2020
Cited alongside, same era.
Editable Neural Networks
Sinitsin, A.; Plokhotnyuk, V.; Pyrkin, D. V.; Popov, S.; and Babenko, A. 2020 · 2020
Cited alongside, same era.
Composition-based Multi-Relational Graph Convolutional Networks
Vashishth, S.; Sanyal, S.; Nitin, V.; and Talukdar, P. P. 2020 · 2020
Cited alongside, same era.
Knowledgeable or Educated Guess? Revisiting Language Models as Knowledge Bases
Sequence-to-Sequence Knowledge Graph Completion and Question Answering
Saxena, A.; Kochsiek, A.; and Gemulla, R. 2022 · 2022
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Towards relation extraction from speech
Wu, T.; Wang, G.; Zhao, J.; Liu, Z.; Qi, G.; Li, Y.; and Haffari, G. 2022b · 2022
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From Discrimination to Generation: Knowledge Graph Completion with Generative Transformer
Xie, X.; Zhang, N.; Li, Z.; Deng, S.; Chen, H.; Xiong, F.; Chen, M.; and Chen, H. 2022 · 2022
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Context-Aware Attentive Multilevel Feature Fusion for Named Entity Recognition
Yang, Z.; Ma, J.; Chen, H.; Zhang, J.; and Chang, Y. 2022 · 2022
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GLM-130B: An Open Bilingual Pre-trained Model
Zeng, A.; Liu, X.; Du, Z.; Wang, Z.; Lai, H.; Ding, M.; Yang, Z.; Xu, Y.; Zheng, W.; Xia, X.; Tam, W. L.; Ma, Z.; Xue, Y.; Zhai, J.; Chen, W.; Zhang, P.; Dong, Y.; and Tang, J. 2022 · 2022
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Cao, B.; Lin, H.; Han, X.; Sun, L.; Yan, L.; Liao, M.; Xue, T.; and Xu, J. 2021 · 2021
Cited alongside, same era.
Editing Factual Knowledge in Language Models
Cao, N. D.; Aziz, W.; and Titov, I. 2021 · 2021
Cited alongside, same era.
Online Updates of Knowledge Graph Embedding
Fei, L.; Wu, T.; and Khan, A. 2021 · 2021
Cited alongside, same era.
Pre-trained models: Past, present and future
Han, X.; and et al. 2021 · 2021
Cited alongside, same era.
Incremental Update of Knowledge Graph Embedding by Rotating on Hyperplanes
Wei, Y.; Chen, W.; Li, Z.; and Zhao, L. 2021 · 2021
Cited alongside, same era.
HiTRANS: A Hierarchical Transformer Network for Nested Named Entity Recognition
Yang, Z.; Ma, J.; Chen, H.; Zhang, Y.; and Chang, Y. 2021 · 2021
Cited alongside, same era.
Calibrating Factual Knowledge in Pretrained Language Models
Dong, Q.; Dai, D.; Song, Y.; Xu, J.; Sui, Z.; and Li, L. 2022 · 2022
Cited alongside, same era.
Differentiable Prompt Makes Pre-trained Language Models Better Few-shot Learners
Zhang, N.; Li, L.; and et al. 2022 · 2022
Later among the works it cites.
Evaluating the Ripple Effects of Knowledge Editing in Language Models
Cohen, R.; Biran, E.; Yoran, O.; Globerson, A.; and Geva, M. 2023 · 2023
Closest in time.
Dissecting Recall of Factual Associations in Auto-Regressive Language Models
Geva, M.; Bastings, J.; Filippova, K.; and Globerson, A. 2023 · 2023
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A divide and conquer framework for Knowledge Editing
Han, X.; Li, R.; Li, X.; and Pan, J. Z. 2023 · 2023
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Hase, P.; Bansal, M.; Kim, B.; and Ghandeharioun, A. 2023 · 2023
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Unifying Large Language Models and Knowledge Graphs: A Roadmap
Pan, S.; Luo, L.; Wang, Y.; Chen, C.; Wang, J.; and Wu, X. 2023 · 2023
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Stanford Alpaca: An Instruction-following LLaMA model
Taori, R.; Gulrajani, I.; Zhang, T.; Dubois, Y.; Li, X.; Guestrin, C.; Liang, P.; and Hashimoto, T. B. 2023 · 2023
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LLaMA: Open and Efficient Foundation Language Models
Touvron, H.; Lavril, T.; Izacard, G.; Martinet, X.; Lachaux, M.; Lacroix, T.; Rozière, B.; Goyal, N.; Hambro, E.; Azhar, F.; Rodriguez, A.; Joulin, A.; Grave, E.; and Lample, G. 2023 · 2023
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Editing Large Language Models: Problems, Methods, and Opportunities
Yao, Y.; Wang, P.; Tian, B.; Cheng, S.; Li, Z.; Deng, S.; Chen, H.; and Zhang, N. 2023 · 2023
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A Survey of Large Language Models
Zhao, W. X.; Zhou, K.; Li, J.; and et al. 2023 · 2023
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INDIGO: GNN-Based Inductive Knowledge Graph Completion Using Pair-Wise Encoding
Liu, S.; Grau, B. C.; Horrocks, I.; and Kostylev, E. V. 2021b · 2045
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