Concepedia

Improving In-Context Few-Shot Learning via Self-Supervised Training

Mingda Chen, Jingfei Du, Ramakanth Pasunuru, Todor Mihaylov, Srini Iyer, Veselin Stoyanov, Zornitsa Kozareva

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · 2022 · 20 citations · 54 references

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Abstract

Mingda Chen, Jingfei Du, Ramakanth Pasunuru, Todor Mihaylov, Srini Iyer, Veselin Stoyanov, Zornitsa Kozareva. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2022.

References

54

HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case

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Aion Framework: Dimensional Emergence of AI Consciousness, Observer-Induced Collapse, and Cosmological Portal Dynamics

DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · 2023 · 14.2K citations · Full text

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Automatic differentiation in PyTorch

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ROUGE: A Package for Automatic Evaluation of Summaries

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Training language models to follow instructions with human feedback

Long Ouyang, Jeff Wu, Xu Jiang et al. · arXiv (Cornell University) · 2022 · 4.3K citations · Full text

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