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Language Models (LMs) have proven to be useful in various downstream applications, such as summarisation, translation, question answering and text classification.
Language models are few-shot learners,
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Bert: Pre-training of deep bidirectional transformers for language understanding,
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Finbert: Financial sentiment analysis with pre-trained language models,
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Language Models as Knowledge Bases?,
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Roberta: A robustly optimized bert pretraining approach,
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Approximate knowledge graph query answering: from ranking to binary classification,
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How Can We Know What Language Models Know?,
Z. Jiang, F. F. Xu, J. Araki, G. Neubig, · 2020
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Inducing Relational Knowledge from BERT,
Z. Bouraoui, J. Camacho-Collados, S. Schockaert, · 2020
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KnowlyBERT - Hybrid Query Answering over Language Models and Knowledge Graphs,
J.-C. Kalo, L. Fichtel, P. Ehler, W.-T. Balke, · 2020
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Inductive entity representations from text via link prediction,
D. Daza, M. Cochez, P. Groth, · 2021
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Learning how to ask: Querying LMs with mixtures of soft prompts,
G. Qin, J. Eisner, · 2021
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Language Models As or For Knowledge Bases (2021). arXiv:2110.04888
S. Razniewski, A. Yates, N. Kassner, G. Weikum, · 2021
Time-Aware Language Models as Temporal Knowledge Bases (2021). arXiv:2106.15110
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Can Language Models be Biomedical Knowledge Bases? (2021) 4723–4734. arXiv:2109.07154
M. Sung, J. Lee, S. Yi, M. Jeon, S. Kim, J. Kang, · 2021
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Z. Meng, F. Liu, E. Shareghi, Y. Su, C. Collins, N. Collier, · 2021
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Do Judge an Entity by Its Name! Entity Typing Using Language Models,
R. Biswas, R. Sofronova, M. Alam, N. Heist, H. Paulheim, H. Sack, · 2021
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Prompt programming for large language models: Beyond the few-shot paradigm,
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BERTese: Learning to speak to BERT,
A. Haviv, J. Berant, A. Globerson, · 2021
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Factual probing is [MASK]: Learning vs. learning to recall (2021) 5017–5033
Z. Zhong, D. Friedman, D. Chen, · 2021
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Prompt Tuning or Fine-Tuning - Investigating Relational Knowledge in Pre-Trained Language Models (2021) 1–15
L. Fichtel, J.-C. Kalo, W.-T. Balke, · 2021
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T. He, K. Cho, J. Glass, · 2021
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L. Reynolds, K. McDonell, · 2021
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T. Sorensen, J. Robinson, C. M. Rytting, A. G. Shaw, K. J. Rogers, A. P. Delorey, M. Khalil, N. Fulda, D. Wingate, An information-theoretic approach to prompt engineering without ground truth labels, 2022
2022
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Language models: past, present, and future,
H. Li, · 2022
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Utilizing language model probes for knowledge graph repair,
H. Arnaout, T.-K. Tran, D. Stepanova, M. H. Gad-Elrab, S. Razniewski, G. Weikum, · 2022
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Maieutic prompting: Logically consistent reasoning with recursive explanations,
J. Jung, L. Qin, S. Welleck, F. Brahman, C. Bhagavatula, R. L. Bras, Y. Choi, · 2022
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