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20242026
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cs.CL2026

M4-RAG: A Massive-Scale Multilingual Multi-Cultural Multimodal RAG

David Anugraha, Patrick Amadeus Irawan, Anshul Singh +2

Vision-language models (VLMs) have achieved strong performance in visual question answering (VQA), yet they remain constrained by static training data. Retrieval-Augmented Generati…

cs.CL2026

Can Large Language Models Understand, Reason About, and Generate Code-Switched Text?

Genta Indra Winata, David Anugraha, Patrick Amadeus Irawan +15

Code-switching is a pervasive phenomenon in multilingual communication, yet the robustness of large language models (LLMs) in mixed-language settings remains insufficiently underst…

cs.CL2025

Entropy2Vec: Crosslingual Language Modeling Entropy as End-to-End Learnable Language Representations

Patrick Amadeus Irawan, Ryandito Diandaru, Belati Jagad Bintang Syuhada +5

We introduce Entropy2Vec, a novel framework for deriving cross-lingual language representations by leveraging the entropy of monolingual language models. Unlike traditional typolog…

cs.CL2025

WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global Cuisines

Genta Indra Winata, Frederikus Hudi, Patrick Amadeus Irawan +48

Vision Language Models (VLMs) often struggle with culture-specific knowledge, particularly in languages other than English and in underrepresented cultural contexts. To evaluate th…

cs.CL2025

SEACrowd: A Multilingual Multimodal Data Hub and Benchmark Suite for Southeast Asian Languages

Holy Lovenia, Rahmad Mahendra, Salsabil Maulana Akbar +58

Southeast Asia (SEA) is a region rich in linguistic diversity and cultural variety, with over 1,300 indigenous languages and a population of 671 million people. However, prevailing…

cs.CL2024

ProxyLM: Predicting Language Model Performance on Multilingual Tasks via Proxy Models

David Anugraha, Genta Indra Winata, Chenyue Li +2

Performance prediction is a method to estimate the performance of Language Models (LMs) on various Natural Language Processing (NLP) tasks, mitigating computational costs associate…