Ready to Translate, Not to Represent? Bias and Performance Gaps in Multilingual LLMs Across Language Families and Domains

Findings of the Association for Computational Linguistics: ACL 2026 2026 Open access

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Authors: Md. Faiyaz Abdullah Sayeedi, Subhey Sadi Rahman, Md. Mahbub Alam, Md. Adnanul Islam, Jannatul Ferdous Deepti, Tasnim Mohiuddin, Md Mofijul Islam, Swakkhar Shatabda
DOI: 10.18653/v1/2026.findings-acl.68
Cited by: 0

Abstract

Md. Faiyaz Abdullah Sayeedi, Subhey Sadi Rahman, Md. Mahbub Alam, Md. Adnanul Islam, Jannatul Ferdous Deepti, Tasnim Mohiuddin, Md Mofijul Islam, Swakkhar Shatabda. Findings of the Association for Computational Linguistics: ACL 2026. 2026.

Fields of Study & Subjects

Natural Language Processing Techniques linguistics and terminology studies Translation Studies and Practices

Publication details

Journal / source
Findings of the Association for Computational Linguistics: ACL 2026
Publisher
Association for Computational Linguistics
Pages
1367–1391
Publication date
1 January 2026
Language
EN