Work

“According to . . . ”: Prompting Language Models Improves Quoting from Pre-Training Data

Year: 2024

Type: conference-paper

Abstract: Orion Weller, Marc Marone, Nathaniel Weir, Dawn Lawrie, Daniel Khashabi, Benjamin Van Durme. Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers). 2024.

Source: Conference of the European Chapter of the Association for Computational Linguistics

DOI: 10.18653/v1/2024.eacl-long.140

Authors: Orion Weller, Marc Marone, Nathaniel Weir, Dawn Lawrie, Daniel Khashabi, Benjamin Van Durme

Institution: Johns Hopkins University

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funder: National Science Foundation

Award: Computational Statutory Reasoning

OpenAlex ID: W4411630101

FWCI: 1.444

Cites:

Cited by: 5

Related to: 10