Rifki Putri — accepted AI-conference papers

2024

BEnQA: A Question Answering Benchmark for Bengali and English

Sheikh Shafayat, H Hasan, Minhajur Mahim, Rifki Putri, James Thorne, Alice Oh

ACL 2024findings

In this study, we introduce BEnQA, a dataset comprising parallel Bengali and English exam questions for middle and high school levels in Bangladesh. Our dataset consists of approximately 5K questions covering several subjects in science with different types of questions, including factual, applicati…

Cited by 2 Source ↗PDF ↗Scholar ↗

2024

Cendol: Open Instruction-tuned Generative Large Language Models for Indonesian Languages

Samuel Cahyawijaya, Holy Lovenia, Fajri Koto, Rifki Putri, Wawan Cenggoro, Jhonson Lee +10

ACL 2024long

Large language models (LLMs) show remarkable human-like capability in various domains and languages. To bridge this quality gap, we introduce Cendol, a collection of Indonesian LLMs encompassing both decoder-only and encoder-decoder architectures across a range of model sizes. We highlight Cendol’s…

Cited by 11 Source ↗PDF ↗Scholar ↗