activity
20222024
most citedJais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models

23 citations · 33 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CL2026

Right Frame, Wrong Rule: Cultural Cues Expose the Financial Knowledge Gap They Were Meant to Close

Rania Elbadry, Ahmed Heakl, Saeed Almheiri +12

When a question has valid answers under different normative frameworks, a language model must decide which framework to use and whether it can answer correctly within it. We call t…

cs.CL20246 cited

Zero-shot Sentiment Analysis in Low-Resource Languages Using a Multilingual Sentiment Lexicon

Fajri Koto, Tilman Beck, Zeerak Talat +2

Improving multilingual language models capabilities in low-resource languages is generally difficult due to the scarcity of large-scale data in those languages. In this paper, we r…

cs.CL2023

Large Language Models Only Pass Primary School Exams in Indonesia: A Comprehensive Test on IndoMMLU

Fajri Koto, Nurul Aisyah, Haonan Li +1

Although large language models (LLMs) are often pre-trained on large-scale multilingual texts, their reasoning abilities and real-world knowledge are mainly evaluated based on Engl…

cs.CL202323 cited

Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language Models

Neha Sengupta, Sunil Kumar Sahu, Bokang Jia +29

We introduce Jais and Jais-chat, new state-of-the-art Arabic-centric foundation and instruction-tuned open generative large language models (LLMs). The models are based on the GPT-…

cs.CL2023

NusaWrites: Constructing High-Quality Corpora for Underrepresented and Extremely Low-Resource Languages

Samuel Cahyawijaya, Holy Lovenia, Fajri Koto +15

Democratizing access to natural language processing (NLP) technology is crucial, especially for underrepresented and extremely low-resource languages. Previous research has focused…

cs.CL20224 cited

NusaCrowd: A Call for Open and Reproducible NLP Research in Indonesian Languages

Samuel Cahyawijaya, Alham Fikri Aji, Holy Lovenia +8

At the center of the underlying issues that halt Indonesian natural language processing (NLP) research advancement, we find data scarcity. Resources in Indonesian languages, especi…