Work

Language Models Learn Universal Representations of Numbers and Here’s Why You Should Care

Year: 2026

Type: conference-paper

Abstract: Michal Štefánik, Timothee Mickus, Marek Kadlčík, Bertram Højer, Michal Spiegel, Raúl Vázquez, Aman Sinha, Josef Kuchař, Philipp Mondorf, Pontus Stenetorp. 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.1415

Authors: Michal Štefánik, Timothee Mickus, Marek Kadlčík, Bertram Højer, Michal Spiegel, Raúl Vázquez, Aman Sinha, Josef Kuchař, Philipp Mondorf, Pontus Stenetorp

Institutions: University of Helsinki, IT University of Copenhagen, Analyse et Traitement Informatique de la Langue Française, Université de Lorraine, Munich Center for Machine Learning, Ludwig-Maximilians-Universität München

Language: English

Topic: Topic Modeling

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W7166847026

FWCI:

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