Predicting Machine Translation Performance on Low-Resource Languages: The Role of Domain Similarity E Khiu, H Toossi, D Anugraha, J Liu, J Li, JAP Flores, LA Roman, ... Findings of the Association for Computational Linguistics: EACL 2024, 1474–1486, 2024 | 8 | 2024 |
ProxyLM: Predicting Language Model Performance on Multilingual Tasks via Proxy Models D Anugraha, GI Winata, C Li, PA Irawan, ESA Lee arXiv preprint arXiv:2406.09334, 2024 | 4 | 2024 |
Metametrics-MT: Tuning machine translation metametrics via human preference calibration D Anugraha*, G Kuwanto*, L Susanto, DT Wijaya, GI Winata Proceedings of the Ninth Conference on Machine Translation, USA. Association …, 2024 | 4* | 2024 |
Metametrics: Calibrating metrics for generation tasks using human preferences GI Winata*, D Anugraha*, L Susanto*, G Kuwanto*, DT Wijaya arXiv preprint arXiv:2410.02381, 2024 | 3 | 2024 |
WORLDCUISINES: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global Cuisines GI Winata*, F Hudi*, PA Irawan*, D Anugraha*, RA Putri*, Y Wang, ... arXiv preprint arXiv:2410.12705, 2024 | 2 | 2024 |
URIEL+: Enhancing Linguistic Inclusion and Usability in a Typological and Multilingual Knowledge Base A Khan*, M Shipton*, D Anugraha, K Duan, PH Hoang, E Khiu, ... arXiv preprint arXiv:2409.18472, 2024 | | 2024 |