4 papers
Predicting LLM Correctness in Prosthodontics Using Metadata and Hallucination Signals
Lucky Susanto, Anasta Pranawijayana, Cortino Sukotjo +2
Large language models (LLMs) are increasingly adopted in high-stakes domains such as healthcare and medical education, where the risk of generating factually incorrect (i.e., hallu…
What Do Indonesians Really Need from Language Technology? A Nationwide Survey
Muhammad Dehan Al Kautsar, Lucky Susanto, Derry Wijaya +1
There is an emerging effort to develop NLP for Indonesias 700+ local languages, but progress remains costly due to the need for direct engagement with native speakers. However, it…
A Multi-Labeled Dataset for Indonesian Discourse: Examining Toxicity, Polarization, and Demographics Information
Lucky Susanto, Musa Wijanarko, Prasetia Pratama +6
Polarization is defined as divisive opinions held by two or more groups on substantive issues. As the world's third-largest democracy, Indonesia faces growing concerns about the in…
NusaAksara: A Multimodal and Multilingual Benchmark for Preserving Indonesian Indigenous Scripts
Muhammad Farid Adilazuarda, Musa Izzanardi Wijanarko, Lucky Susanto +3
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 Indone…