60 citations · 119 across the 36 of their papers we have counts for
9 papers · 1 filter
Math2Visual-X: A Modular Framework for Pedagogically Aligned Lower-Primary Math Visuals Generation
H. D. E. Maduranga, S. K. Munasinghe, K. P. T. I. Weerasekara +2
Visual representations can help lower-primary learners understand Math Word Problems, but generating classroom-usable visuals remains difficult. Existing symbolic systems are contr…
Confident but Wrong: A Constrained Decoding Diagnostic for Low-Resource Automatic Post-Editing
Isuru Wijesiri, Nisansa de Silva, Kavindu Warnakulasuriya +2
Automatic Post-Editing (APE) for low-resource languages (LRLs) often fails to improve Machine Translation (MT), and the score alone cannot say why: whether more training would help…
EnSiTa - A Trilingual Multi-Domain Parallel Dataset and Benchmark for Domain-Specific Machine Translation
Surangika Ranathunga, Nisansa de Silva, Aloka Fernando +8
Machine Translation (MT) for low-resource languages remains far behind that of high-resource languages, and the gap is widest in specialised domains, where parallel data is scarce…
Georeferencing Non-Gazetteered Place Names using Biological Specimen Records
Aneesha Fernando, Surangika Ranathunga, Kristin Stock +2
Biological specimen records collected by natural history institutions constitute a rich source of temporal geographic knowledge, capturing biodiversity information about regional l…
LKValues: Aligning Large Language Models with Sri Lankan Societal Values
Nethmi Muthugala, Supryadi, Surangika Ranathunga +7
Value alignment of Large Language Models (LLMs) has been shown to be culturally biased toward Western norms. This results in the mishandling of local values in multilingual societi…
Which LoRA? An Empirical Study on the Effectiveness of LoRA Techniques During Multilingual Instruction Tuning
Thamali Wijewardhana, Napoleon H. Reyes, Surangika Ranathunga
We investigate whether commonly available LoRA variants have an advantage over basic LoRA in multilingual instruction tuning. Experiments involving LoRA and four other variants on…
OasisSimp: An Open-source Asian-English Sentence Simplification Dataset
Hannah Liu, Muxin Tian, Iqra Ali +8
Sentence simplification aims to make complex text more accessible by reducing linguistic complexity while preserving the original meaning. However, progress in this area remains li…
Sinhala Physical Common Sense Reasoning Dataset for Global PIQA
Nisansa de Silva, Surangika Ranathunga
This paper presents the first-ever Sinhala physical common sense reasoning dataset created as part of Global PIQA. It contains 110 human-created and verified data samples, where ea…
Forecasting Commencing Enrolments Under Data Sparsity: A Zero-Shot Time Series Foundation Models Framework for Higher Education Planning
Jittarin Jetwiriyanon, Teo Susnjak, Surangika Ranathunga
Effective resource allocation in higher education depends on reliable enrolment forecasts, yet institutional planners frequently face data series disrupted by structural shifts. Th…