Fetching the paper…
Reading the bibliography…
This paper presents a comprehensive exploration of the evolution of prompt engineering and generation in the field of natural language processing (NLP).
2015
Earlier work this paper cites.
2015
Earlier work this paper cites.
T. Chakraborty, G. Badie, and B. Rudder, “Reducing gender bias in word embeddings,” 2016. [Online]. Available: https://api.semanticscholar.org/CorpusID:12616116
2016
Earlier work this paper cites.
A. Vaswani, N. M. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, L. Kaiser, and I. Polosukhin, “Attention is all you need,” in NIPS , 2017. [Online]. Available: https://api.semanticscholar.org/CorpusID:13756489
2017
Earlier work this paper cites.
2017
Earlier work this paper cites.
2017
Earlier work this paper cites.
B. Liu, G. Tür, D. Z. Hakkani-Tür, P. Shah, and L. Heck, “Dialogue learning with human teaching and feedback in end-to-end trainable task-oriented dialogue systems,” in North American Chapter of the Association for Computational Linguistics , 2018. [Online]. Available: https://api.semanticscholar.org/CorpusID:4938015
2018
Earlier work this paper cites.
B. Zhang, B. Lemoine, and M. Mitchell, “Mitigating unwanted biases with adversarial learning,” Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society , 2018. [Online]. Available: https://api.semanticscholar.org/CorpusID:9424845
2018
Earlier work this paper cites.
J. Howard and S. Ruder, “Universal language model fine-tuning for text classification,” in Annual Meeting of the Association for Computational Linguistics , 2018. [Online]. Available: https://api.semanticscholar.org/CorpusID:40100965
2018
Earlier work this paper cites.
M. E. Peters, M. Neumann, M. Iyyer, M. Gardner, C. Clark, K. Lee, and L. Zettlemoyer, “Deep contextualized word representations,” in North American Chapter of the Association for Computational Linguistics , 2018. [Online]. Available: https://api.semanticscholar.org/CorpusID:3626819
2018
Cited alongside, same era.
2019
Cited alongside, same era.
2019
Cited alongside, same era.
2019
Later among the works it cites.
S. Jain and B. C. Wallace, “Attention is not explanation,” in North American Chapter of the Association for Computational Linguistics , 2019. [Online]. Available: https://api.semanticscholar.org/CorpusID:67855860
2019
Later among the works it cites.
A. Rahimi, Y. Li, and T. Cohn, “Massively multilingual transfer for ner,” in Annual Meeting of the Association for Computational Linguistics , 2019. [Online]. Available: https://api.semanticscholar.org/CorpusID:153313061
2019
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2019
Cited alongside, same era.
C. Sun, X. Qiu, Y. Xu, and X. Huang, “How to fine-tune bert for text classification?” in China National Conference on Chinese Computational Linguistics , 2019. [Online]. Available: https://api.semanticscholar.org/CorpusID:153312532
2019
Cited alongside, same era.
K. Labusch, C. Neudecker, and D. Zellhöfer, “Bert for named entity recognition in contemporary and historic german,” in Conference on Natural Language Processing , 2019. [Online]. Available: https://api.semanticscholar.org/CorpusID:208192606
2019
Cited alongside, same era.
2019
Cited alongside, same era.
A. Radford, J. Wu, R. Child, D. Luan, D. Amodei, and I. Sutskever, “Language models are unsupervised multitask learners,” 2019. [Online]. Available: https://api.semanticscholar.org/CorpusID:160025533
2019
Cited alongside, same era.
2019
Cited alongside, same era.
2020
Later among the works it cites.
2020
Later among the works it cites.
2020
Later among the works it cites.
2020
Later among the works it cites.
2022
Later among the works it cites.