5 papers
Does Visual Rendering Bypass Tokenization? Investigating Script-Tokenizer Misalignment in Pixel-Based Language Models
Lucky Susanto, Musa Izzanardi Wijanarko, Khumaisa Nur'aini +3
While pixel-based language modeling aims to bypass the sub-word tokenization bottleneck by rendering text as images, recent multimodal variants such as DualGPT reintroduce text tok…
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…