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title: "Colin Raffel — papers of 2022 — 5 papers, the most cited first"
description: "Colin Raffel — papers of 2022: 5 papers on Elamur Research, the most cited first — what each work is about in our own words."
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# Colin Raffel — papers of 2022 — 5 papers, the most cited first

5 papers · [all years of Colin Raffel](https://md.research.elamur.ai/free/en/authors/colin-raffel/#years)

- [Emergent Abilities of Large Language Models arXiv:2206.07682](https://md.research.elamur.ai/free/en/papers/wei-2022-emergent-abilities-large-language-models/) — Jason Wei, Yi Tay, Rishi Bommasani, et al. · 2022 · 2,269 citations

**[Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning](https://md.research.elamur.ai/free/en/papers/liu-2022-few-shot-parameter-efficient-fine/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Haokun Liu, Derek Tam, Mohammed Muqeeth, et al.*2022 · 754 citations*

- [Large Language Models Struggle to Learn Long-Tail Knowledge arXiv:2211.08411](https://md.research.elamur.ai/free/en/papers/kandpal-2022-large-language-models-struggle-learn/) — Nikhil Kandpal, Haikang Deng, Adam Roberts, et al. · 2022 · 366 citations
- [PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts arXiv:2202.01279](https://md.research.elamur.ai/free/en/papers/bach-2022-promptsource-integrated-development-environment-repository/) — Stephen H. Bach, Victor Sanh, Zheng-Xin Yong, et al. · 2022 · 174 citations
- [Deduplicating Training Data Mitigates Privacy Risks in Language Models arXiv:2202.06539](https://md.research.elamur.ai/free/en/papers/kandpal-2022-deduplicating-training-data-mitigates-privacy/) — Nikhil Kandpal, Eric Wallace, Colin Raffel · 2022 · 172 citations
