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20242026
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cs.CL2026

Steering LLMs for Culturally Localized Generation

Simran Khanuja, Hongbin Liu, Shujian Zhang +4

LLMs are deployed globally, yet produce responses biased towards cultures with abundant training data. Existing cultural localization approaches such as prompting or post-training…

cs.CL2026

Linguistically Informed Evaluation of Multilingual ASR for African Languages

Fei-Yueh Chen, Lateef Adeleke, C. M. Downey

Word Error Rate (WER) mischaracterizes ASR models' performance for African languages by combining phonological, tone, and other linguistic errors into a single lexical error. By co…

cs.CL2025

MERLIN: A Testbed for Multilingual Multimodal Entity Recognition and Linking

Sathyanarayanan Ramamoorthy, Vishwa Shah, Simran Khanuja +5

This paper introduces MERLIN, a novel testbed system for the task of Multilingual Multimodal Entity Linking. The created dataset includes BBC news article titles, paired with corre…

cs.CL2025

Grounding Multilingual Multimodal LLMs With Cultural Knowledge

Jean de Dieu Nyandwi, Yueqi Song, Simran Khanuja +1

Multimodal Large Language Models excel in high-resource settings, but often misinterpret long-tail cultural entities and underperform in low-resource languages. To address this gap…

cs.CL2025

Towards Automatic Evaluation for Image Transcreation

Simran Khanuja, Vivek Iyer, Claire He +1

Beyond conventional paradigms of translating speech and text, recently, there has been interest in automated transcreation of images to facilitate localization of visual content ac…

cs.CL2025

What Is Missing in Multilingual Visual Reasoning and How to Fix It

Yueqi Song, Simran Khanuja, Graham Neubig

NLP models today strive for supporting multiple languages and modalities, improving accessibility for diverse users. In this paper, we evaluate their multilingual, multimodal capab…