activity
20242026
most citedGlobal MMLU: Understanding and Addressing Cultural and Linguistic Biases in Multilingual Evaluation

6 citations · 6 across the 8 of their papers we have counts for

collaborators

15 papers

cs.CL2026

SEA-Guard: Culturally Grounded Multilingual Safeguard for Southeast Asia

Panuthep Tasawong, Jian Gang Ngui, Alham Fikri Aji +2

Culturally aware safeguards are crucial for AI alignment in real-world settings, where safety extends beyond common sense and encompasses diverse local values, norms, and region-sp…

cs.CL2026

MultiLexNorm++: A Unified Benchmark and a Generative Model for Lexical Normalization for Asian Languages

Weerayut Buaphet, Thanh-Nhi Nguyen, Risa Kondo +8

Social media data has been of interest to Natural Language Processing (NLP) practitioners for over a decade, because of its richness in information, but also challenges for automat…

cs.CL2025

SEA-SafeguardBench: Evaluating AI Safety in SEA Languages and Cultures

Panuthep Tasawong, Jian Gang Ngui, Alham Fikri Aji +2

Safeguard models help large language models (LLMs) detect and block harmful content, but most evaluations remain English-centric and overlook linguistic and cultural diversity. Exi…

cs.CL2025

Distilling Multilingual Vision-Language Models: When Smaller Models Stay Multilingual

Sukrit Sriratanawilai, Jhayahgrit Thongwat, Romrawin Chumpu +3

Vision-language models (VLMs) exhibit uneven performance across languages, a problem that is often exacerbated when the model size is reduced. While Knowledge distillation (KD) dem…

cs.CL2025

WangchanThaiInstruct: An instruction-following Dataset for Culture-Aware, Multitask, and Multi-domain Evaluation in Thai

Peerat Limkonchotiwat, Pume Tuchinda, Lalita Lowphansirikul +5

Large language models excel at instruction-following in English, but their performance in low-resource languages like Thai remains underexplored. Existing benchmarks often rely on…

cs.CL2025

SEADialogues: A Multilingual Culturally Grounded Multi-turn Dialogue Dataset on Southeast Asian Languages

Muhammad Dehan Al Kautsar, Aswin Candra, Muhammad Alif Al Hakim +6

Although numerous datasets have been developed to support dialogue systems, most existing chit-chat datasets overlook the cultural nuances inherent in natural human conversations.…