December 21, 2023Open Access

Shortcut Learning of Large Language Models in Natural Language Understanding

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Abstract

Shortcuts often hinder the robustness of large language models.

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Authors

Mengnan Du

New Jersey Institute of Technology

Fengxiang He

University of Technology Sydney

Na Zou

Zhongnan University of Economics and Law

Journals

Communications of the ACM

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Institutions

University of Edinburgh

The University of Sydney

Texas A&M University

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Du et al. (Thu,) studied this question.

synapsesocial.com/papers/69d685edd93a727eca1f2d21 — DOI: https://doi.org/10.1145/3596490

Also consider

Synapse has enriched 3 closely related papers on similar clinical questions. Consider them for comparative context:

Advances in neural information processing systems 7· 1996 · 14,392 citations
Advances in neural information processing systems 7· 1997 · 22,300 citations
Incorporating Priors with Feature Attribution on Text Classification· 2019 · 92 citations

Also consider

Synapse has enriched 3 closely related papers on similar clinical questions. Consider them for comparative context:

Advances in neural information processing systems 7· 1996 · 14,392 citations
Advances in neural information processing systems 7· 1997 · 22,300 citations
Incorporating Priors with Feature Attribution on Text Classification· 2019 · 92 citations

Shortcut Learning of Large Language Models in Natural Language Understanding

Key Points

Abstract

Citation Network

Connected Papers

Discussion

Authors

Journals

Actions

Institutions

References and Citations

Citation Network

Connected Papers

Discussion

Cite this study

Also consider

Also consider