Work

LLMs Are Few-Shot In-Context Low-Resource Language Learners

Year: 2024

Type: conference-paper

Abstract: Samuel Cahyawijaya, Holy Lovenia, Pascale Fung. Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). 2024.

Source: Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)

DOI: 10.18653/v1/2024.naacl-long.24

Authors: Samuel Cahyawijaya, Holy Lovenia, Pascale Fung

Institutions: Hong Kong University of Science and Technology, AI Singapore

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: hybrid

Funders: National Research Foundation, National Research Foundation Singapore

OpenAlex ID: W4401042779

FWCI: 9.398

Cites:

Cited by: 32

Related to: 10