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cs.CL2025
LLM Compression: How Far Can We Go in Balancing Size and Performance?
Sahil Sk, Debasish Dhal, Sonal Khosla +6
Quantization is an essential and popular technique for improving the accessibility of large language models (LLMs) by reducing memory usage and computational costs while maintainin…
cs.CL2024
Towards a More Inclusive AI: Progress and Perspectives in Large Language Model Training for the Sámi Language
Ronny Paul, Himanshu Buckchash, Shantipriya Parida +1
Sámi, an indigenous language group comprising multiple languages, faces digital marginalization due to the limited availability of data and sophisticated language models designed…