Fetching the paper…
Reading the bibliography…
Knowledge Graphs popularity has been rapidly growing in last years.
Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N., Kaiser, L., and Polosukhin, I · 2017
Earlier work this paper cites.
BERT: pre-training of deep bidirectional transformers for language understanding
Devlin, J., Chang, M., Lee, K., and Toutanova, K · 2018
Earlier work this paper cites.
Improving language understanding by generative pre-training, 2018
Radford, A., Narasimhan, K., Salimans, T., and Sutskever, I · 2018
Earlier work this paper cites.
A survey on transfer learning in natural language processing, 2020
Alyafeai, Z., AlShaibani, M. S., and Ahmad, I · 2020
Earlier work this paper cites.
Language models are few-shot learners
Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., Agarwal, S., Herbert-Voss, A., Krueger, G., Henighan, T., Child, R., Ramesh, A., Ziegler, D. M., Wu, J., Winter, C., Hesse, C., Chen, M., Sigler, E., Litwin, M., Gray, S., Chess, B., Clark, J., Berner, C., McCandlish, S., Radford, A., Sutskever, I., and Amodei, D · 2020
Earlier work this paper cites.
Shortcut learning in deep neural networks
Geirhos, R., Jacobsen, J., Michaelis, C., Zemel, R. S., Brendel, W., Bethge, M., and Wichmann, F. A · 2020
Earlier work this paper cites.
Knowledge Graphs
Hogan, A., Blomqvist, E., Cochez, M., d’Amato, C., de Melo, G., Gutiérrez, C., Kirrane, S., Labra Gayo, J. E., Navigli, R., Neumaier, S., Ngonga Ngomo, A.-C., Polleres, A., Rashid, S. M., Rula, A., Schmelzeisen, L., Sequeda, J. F., Staab, S., and Zimmermann, A · 2021
Cited alongside, same era.
Induced natural language rationales and interleaved markup tokens enable extrapolation in large language models, 2022
Bueno, M., Gemmell, C., Dalton, J., Lotufo, R., and Nogueira, R · 2022
Cited alongside, same era.
Sciqa benchmark: Dataset and rdf dump, Mar. 2023
Auer, S., Barone, D. A. C., Bartz, C., Cortes, E. G., Jaradeh, M. Y., Karras, O., Koubarakis, M., Mouromtsev, D., Pliukhin, D., Radyush, D., Shilin, I., Stocker, M., and Tsalapati, E · 2023
Cited alongside, same era.
Dblp-quad, Feb. 2023
Awale, S., Banerjee, D., Usbeck, R., and Biemann, C · 2023
Cited alongside, same era.
Dblplink: An entity linker for the dblp scholarly knowledge graph, 2023
Banerjee, D., Arefa, Usbeck, R., and Biemann, C · 2023
Cited alongside, same era.
Improving subgraph extraction algorithms for one-shot sparql query generation with large language models
Pliukhin, D., Radyush, D., Kovriguina, L., and Mouromtsev, D · 2023
Later among the works it cites.
Exploring the limits of transfer learning with a unified text-to-text transformer, 2023
Raffel, C., Shazeer, N., Roberts, A., Lee, K., Narang, S., Matena, M., Zhou, Y., Li, W., and Liu, P. J · 2023
Later among the works it cites.
BERTologyNavigator: Advanced question answering with bert-based semantics
Rajpal, S., and Usbeck, R · 2023
Later among the works it cites.
Leveraging llms in scholarly knowledge graph question answering
Taffa, T. A., and Usbeck, R · 2023
Later among the works it cites.
Nlqxform: A language model-based question to sparql transformer
Wang, R., Zhang, Z., Rossetto, L., Ruosch, F., and Bernstein, A · 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…
Autosupervisión de alucinaciones en grandes modelos del lenguaje: LLteaM
Correa Busquets, S., and Maccarini Llorens, L · 2023
Cited alongside, same era.