Designing Informative Metrics for Few-Shot Example Selection

Introduction to the CoNLL-2000 shared task chunking

Erik F. Tjong Kim Sang and Sabine Buchholz. 2000 · 2000

Earlier work this paper cites.

Introduction to the CoNLL-2003 shared task: Language-independent named entity recognition

Erik F. Tjong Kim Sang and Fien De Meulder. 2003 · 2003

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Interrater reliability: the kappa statistic

Mary L McHugh. 2012 · 2012

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The creation and analysis of a website privacy policy corpus

Shomir Wilson, Florian Schaub, Aswarth Abhilash Dara, Frederick Liu, Sushain Cherivirala, Pedro Giovanni Leon, Mads Schaarup Andersen, Sebastian Zimmeck, Kanthashree Mysore Sathyendra, N. Cameron Russell, Thomas B. Norton, Eduard Hovy, Joel Reidenberg, and Norman Sadeh. 2016 · 2016

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The gum corpus: creating multilayer resources in the classroom

Amir Zeldes. 2017 · 2017

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Going against the (appropriate) flow: A contextual integrity approach to privacy policy analysis

Yan Shvartzshnaider, Noah J. Apthorpe, Nick Feamster, and Helen Nissenbaum. 2019 · 2019

Earlier work this paper cites.

Language models are few-shot learners

Original

Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 2020

Cited alongside, same era.

Universal Dependencies v2: An evergrowing multilingual treebank collection

Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, Jan Hajič, Christopher D. Manning, Sampo Pyysalo, Sebastian Schuster, Francis Tyers, and Daniel Zeman. 2020 · 2020

Cited alongside, same era.

What makes good in-context examples for GPT-3?

Jiachang Liu, Dinghan Shen, Yizhe Zhang, Bill Dolan, Lawrence Carin, and Weizhu Chen. 2022 · 2022

Cited alongside, same era.

Rethinking the role of demonstrations: What makes in-context learning work?

Original

Sewon Min, Xinxi Lyu, Ari Holtzman, Mikel Artetxe, Mike Lewis, Hannaneh Hajishirzi, and Luke Zettlemoyer. 2022 · 2022

Cited alongside, same era.

Promptner: Prompting for named entity recognition

Original

Dhananjay Ashok and Zachary C. Lipton. 2023 · 2023

Later among the works it cites.

Prompting language models for linguistic structure

Original

Terra Blevins, Hila Gonen, and Luke Zettlemoyer. 2023 · 2023

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How is chatgpt’s behavior changing over time?

Original

Lingjiao Chen, Matei Zaharia, and James Zou. 2023 · 2023

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Chain-of-thought prompting elicits reasoning in large language models

Original

Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed Chi, Quoc Le, and Denny Zhou. 2023 · 2023

Later among the works it cites.

Quantifying language models’ sensitivity to spurious features in prompt design or: How i learned to start worrying about prompt formatting