Centering Low-Resource Languages and Cultures in the Age of Large Language Models
Date: December 1, 2025
Location: Hilton Mexico City Reforma, Mexico City, Mexico
Overview
The Centering Low-Resource Languages and Cultures in the Age of Large Language Models (CLRLC-LLMs) Workshop explores the role of Large Language Models (LLMs) in shaping the future of multilingual and culturally inclusive artificial intelligence. While LLMs have transformed natural language processing, they are still largely optimized for high-resource and globally dominant languages. Low-resource languages and cultures still remain significantly underrepresented in current AI research and development.
This workshop aims to reframe conversations in language technology by placing low-resource languages and cultures at the center of AI innovation. It seeks to bring together researchers, linguists, developers, and technologists to share their insights, challenges, and strategies for developing, evaluating, and deploying LLMs that uphold linguistic diversity and cultural identity across Africa and parts of the Asian region.
Through talks, paper presentations, and collaborative discussions, the workshop aims to promote global collaboration, scalable approaches for data creation and model alignment, and encourage ethical and culturally aware evaluation of LLMs. Ultimately, it serves as a platform to inspire interdisciplinary research that bridges linguistics, computer science, and engineering, toward a more inclusive and representative AI landscape.
Through invited talks, paper presentations, and panel discussions, participants will examine the intersections of AI,
linguistics, and cultural diversity promoting innovations that empower underrepresented language communities globally.
Agenda
Stay tuned for the full workshop schedule, including keynote talks, paper presentations, and panel discussions.
Call for Lightning Talks
We invite researchers, practitioners, linguists, and students working on
low-resource languages, culturally aware AI, and inclusive language technologies
to submit Lightning Talk abstracts to the
Centering Low-Resource Languages and Cultures in the Age of Large Language Models (CLRLC-LLMs) Workshop @ NeurIPS 2025,
taking place in Mexico City on December 1, 2025.
Lightning Talks are short, focused presentations (5–7 minutes) that showcase
ongoing research, new ideas, or visionary directions relevant to the workshop’s theme.
This session aims to spark interdisciplinary exchange and highlight work advancing culturally grounded AI.
Scope and Topics of Interest
We welcome contributions from NLP, linguistics, computational linguistics, cognitive science, and social science communities, as well as from researchers, practitioners, and technologists working at the intersection of language, culture, and artificial intelligence. Submissions may include both technical and interdisciplinary research within (but not limited to)
the following areas:
LLMs for low-resource languages
Culturally grounded NLP and multilingual evaluation
Dataset creation, curation, and benchmarks for African, Indigenous, and marginalized languages
Cross-linguistic transfer and model adaptation
Ethical, social, and policy dimensions of language technologies
Community-based and participatory AI approaches
Speech, ASR, and translation in low-resource settings
Human–AI interaction for linguistic and cultural inclusivity
Cognitive or sociolinguistic perspectives on AI and language
Healthcare and Biomedical Machine Translation for Low-Resource Languages: Exploring how large language models can improve medical and healthcare-related translation in low-resource languages such as enhancing clinical communication, patient data translation, and culturally sensitive healthcare information delivery.
Presentation Mode: In-person (Mexico City) or Virtual
Submissions should be made through OpenReview under the
Centering Low-Resource Languages and Cultures in the Age of Large Language Models (CLRLC-LLMs) Workshop track.
Submission Requirements
Title of the Lightning Talk
Abstract (maximum 1 page, PDF)
3–5 Keywords
Preferred presentation mode: In-person or Virtual
Optional: Include a link to a preprint, demo, or dataset if anonymized.
Important Dates
Submission Deadline: 2025/11/05
Workshop Date: December 1, 2025 – NeurIPS 2025, Mexico City
Speakers
Emily Prud’hommeaux
Keynote Speaker
Boston College
Emily Prud’hommeaux is an Associate Professor in the Department
of Computer Science at Boston College. She received her BA (Harvard),
MA (UCLA), and PhD in Computer Science and Engineering (OHSU/OGI).
Her research focuses on NLP for low-resource and endangered languages.
Sunayana is a Principal Researcher at Microsoft Research India in Bangalore, where she has worked for the past 9 years since completing her PhD at Carnegie Mellon University in 2015. Her research aims to improve the evaluation and performance of Large Language Models in languages other than English, currently focusing on facilitating participatory research for multilingual and multicultural evaluation and model improvement. Additionally, Sunayana served as the director of the MSR India Research Fellow program from 2022-2024. The program hosts around 65 young researchers at the India lab, preparing them for careers in research, engineering, and entrepreneurship. She regularly publishes her research and serves on the organizing committee for leading NLP conferences such as ACL, EMNLP, and CoLM. Sunayana’s research has led to the creation of several datasets and benchmarks used by research groups all over the world.
