activity
20232026
most citedBHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models

3 citations · 6 across the 10 of their papers we have counts for

collaborators

12 papers

cs.CY2026

KITA AI: A Multi-Agent LLM System for Pluralistic Policy Deliberation

Arnau Mayoral-Macau, Jiaqi Lai, Manala Tyobeka +3

Public policies addressing urgent social and environmental challenges need to explicitly consider the diverse, often conflicting perspectives of the affected stakeholders. Despite…

eess.AS2026

Beyond Textual Chain-of-Thought: JEPA-Conditioned Latent Reasoning for Large Audio Language Models

Donghang Wu, Haoyang Zhang, Yizhou Peng +6

Explicit textual Chain-of-Thought (CoT) has improved the reasoning ability of large audio language models (LALMs). However, textual CoTs are often constructed from text captions of…

cs.CL2026

Native Multilingual Chain-of-Thought Reasoning in Low-Resource Southeast Asian Languages

Sean Gip Lim, William Chandra Tjhi, Hai Leong Chieu

Large Language Models have achieved substantial progress in reasoning capabilities. Yet in low-resource native settings, many suffer from cross-lingual collapse, reverting to Engli…

cs.CY2026

Buy versus Build an LLM: A Decision Framework for Governments

Jiahao Lu, Ziwei Xu, William Tjhi +4

Large Language Models (LLMs) represent a new frontier of digital infrastructure that can support a wide range of public-sector applications, from general purpose citizen services t…

cs.AI2025

Training Vision-Language Process Reward Models for Test-Time Scaling in Multimodal Reasoning: Key Insights and Lessons Learned

Brandon Ong, Tej Deep Pala, Vernon Toh +2

Process Reward Models (PRMs) provide step-level supervision that improves the reliability of reasoning in large language models. While PRMs have been extensively studied in text-ba…

cs.AI2025

The Singapore Consensus on Global AI Safety Research Priorities

Yoshua Bengio, Tegan Maharaj, Luke Ong +84

Rapidly improving AI capabilities and autonomy hold significant promise of transformation, but are also driving vigorous debate on how to ensure that AI is safe, i.e., trustworthy,…

cs.CL2025

SEA-HELM: Southeast Asian Holistic Evaluation of Language Models

Yosephine Susanto, Adithya Venkatadri Hulagadri, Jann Railey Montalan +7

With the rapid emergence of novel capabilities in Large Language Models (LLMs), the need for rigorous multilingual and multicultural benchmarks that are integrated has become more…

cs.CL2024★ 1 cited

Kalahi: A handcrafted, grassroots cultural LLM evaluation suite for Filipino

Jann Railey Montalan, Jian Gang Ngui, Wei Qi Leong +4

Multilingual large language models (LLMs) today may not necessarily provide culturally appropriate and relevant responses to its Filipino users. We introduce Kalahi, a cultural LLM…

cs.CL2024

ThaiCoref: Thai Coreference Resolution Dataset

Pontakorn Trakuekul, Wei Qi Leong, Charin Polpanumas +3

While coreference resolution is a well-established research area in Natural Language Processing (NLP), research focusing on Thai language remains limited due to the lack of large a…

cs.CL2024★ 2 cited

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

Thai Universal Dependency Treebank

Panyut Sriwirote, Wei Qi Leong, Charin Polpanumas +4

Automatic dependency parsing of Thai sentences has been underexplored, as evidenced by the lack of large Thai dependency treebanks with complete dependency structures and the lack…

cs.CL2023★ 3 cited

BHASA: A Holistic Southeast Asian Linguistic and Cultural Evaluation Suite for Large Language Models

Wei Qi Leong, Jian Gang Ngui, Yosephine Susanto +3

The rapid development of Large Language Models (LLMs) and the emergence of novel abilities with scale have necessitated the construction of holistic, diverse and challenging benchm…