R2T: Rule-Encoded Loss Functions for Low-Resource Sequence Tagging
Paper • 2510.13854 • Published •
1
Karim Mahamane Karimou
Abu-Dju
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updated a model about 7 hours ago
Abu-Dju/translategemma-27b-it-Q8_0-GGUF published a model about 7 hours ago
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papers 6 days ago
InstructLR: A Scalable Approach to Create Instruction Dataset for Under-Resourced Languages
Paper • 2512.02213 • Published • 1 •
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NSL-MT: Linguistically Informed Negative Samples for Efficient Machine Translation in Low-Resource Languages
Paper • 2511.09537 • Published • 1 •
2
Computer Science Conferences Should Require Nonrepudiable Experimental Results
Paper • 2605.08586 • Published • 2 •
3