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Lucky Susanto

7 accepted papers

2025

A Multi-Labeled Dataset for Indonesian Discourse: Examining Toxicity, Polarization, and Demographics Information

Lucky Susanto, Musa Izzanardi Wijanarko, Prasetia Anugrah Pratama, Zilu Tang, Fariz Akyas, Traci Hong +3
ACL 2025finding

Online discourse is increasingly trapped in a vicious cycle where polarizing language fuelstoxicity and vice versa. Identity, one of the most divisive issues in modern politics, oftenincreases polarization. Yet, prior NLP research has mostly treated toxicity and polarization asseparate problems. In…

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2025

MetaMetrics: Calibrating Metrics for Generation Tasks Using Human Preferences

Genta Indra Winata, David Anugraha, Lucky Susanto, Garry Kuwanto, Derry Tanti Wijaya
ICLR 2025poster

Understanding the quality of a performance evaluation metric is crucial for ensuring that model outputs align with human preferences. However, it remains unclear how well each metric captures the diverse aspects of these preferences, as metrics often excel in one particular area but not across all d…

Cited by 6Source ↗PDF ↗code ↗Scholar ↗
2025

NusaAksara: A Multimodal and Multilingual Benchmark for Preserving Indonesian Indigenous Scripts

Muhammad Farid Adilazuarda, Musa Izzanardi Wijanarko, Lucky Susanto, Khumaisa Nur’aini, Derry Tanti Wijaya, Alham Fikri Aji
ACL 2025long

Indonesia is rich in languages and scripts. However, most NLP progress has been made using romanized text. In this paper, we present NusaAksara, a novel public benchmark for Indonesian languages that includes their original scripts. Our benchmark covers both text and image modalities and encompasses…

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2025

What Do Indonesians Really Need from Language Technology? A Nationwide Survey

Muhammad Dehan Al Kautsar, Lucky Susanto, Derry Tanti Wijaya, Fajri Koto
EMNLP 2025

Despite emerging efforts to develop NLP for Indonesia’s 700+ local languages, progress remains costly due to the need for direct engagement with native speakers. However, it is unclear what these language communities truly need from language technology. To address this, we conduct a nationwide surve

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2025

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

Genta Indra Winata, Frederikus Hudi, Patrick Amadeus Irawan, David Anugraha, Rifki Afina Putri, Wang Yutong +45
NAACL 2025long

Vision Language Models (VLMs) often struggle with culture-specific knowledge, particularly in languages other than English and in underrepresented cultural contexts. To evaluate their understanding of such knowledge, we introduce WorldCuisines, a massive-scale benchmark for multilingual and multicul…

Cited by 11Source ↗PDF ↗code ↗Scholar ↗
2024

Monitoring Hate Speech in Indonesia: An NLP-based Classification of Social Media Texts

Musa Izzanardi Wijanarko, Lucky Susanto, Prasetia Anugrah Pratama, Ika Karlina Idris, Traci Hong, Derry Tanti Wijaya
EMNLP 2024system demonstrations

Online hate speech propagation is a complex issue, deeply influenced by both the perpetrator and the target’s cultural, historical, and societal contexts. Consequently, developing a universally robust hate speech classifier for diverse social media texts remains a challenging and unsolved task. The…

Cited by 1Source ↗PDF ↗Scholar ↗
2024

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

Holy Lovenia, Rahmad Mahendra, Salsabil Maulana Akbar, Lester James Validad Miranda, Jennifer Santoso, Elyanah Aco +55
EMNLP 2024main

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 AI models suffer from a significant lack of representation of texts, images, and audio datasets from SEA, compromising…

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