2 papers
cs.CL2026
AmharicIR+Instr: A Two-Dataset Resource for Neural Retrieval and Instruction Tuning
Tilahun Yeshambel, Moncef Garouani, Josiane Mothe
Neural retrieval and GPT-style generative models rely on large, high-quality supervised data, which is still scarce for low-resource languages such as Amharic. We release an Amhari…
cs.IR2025
Dense Retrieval for Low Resource Languages -- the Case of Amharic Language
Tilahun Yeshambel, Moncef Garouani, Serge Molina +1
This paper reports some difficulties and some results when using dense retrievers on Amharic, one of the low-resource languages spoken by 120 millions populations. The efforts put…