Work

Limited Linguistic Diversity in Embodied AI Datasets

Year: 2026

Type: conference-paper

Abstract: Selma Liliane Wanna, Agnes Luhtaru, Jonathan Salfity, Ryan Barron, Juston Moore, Cynthia Matuszek, Mitch Pryor. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.

Source: Proceedings of the conference - Association for Computational Linguistics. Meeting

DOI: 10.18653/v1/2026.acl-long.507

Authors: Selma Liliane Wanna, Agnes Luhtaru, Jonathan Salfity, Ryan Barron, Juston Moore, Cynthia Matuszek, Mitch Pryor

Institutions: Los Alamos National Laboratory, University of Tartu, The University of Texas at Austin, University of Maryland, Baltimore County

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Reduced inequalities

Open Access status: hybrid

Funders: U.S. Department of Energy, Eesti Teadusagentuur, National Nuclear Security Administration, Laboratory Directed Research and Development

Awards: G1017065088, G2356915424, Language Technology for Low-Resource Finno-Ugric Languages and Dialects, G6410514744, Grounding AI-based task planning in structured and dependable robot autonomy

OpenAlex ID: W7166814454

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