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cs.CL2024
Efficient Continual Pre-training of LLMs for Low-resource Languages
Arijit Nag, Soumen Chakrabarti, Animesh Mukherjee +1
Open-source Large Language models (OsLLMs) propel the democratization of natural language research by giving the flexibility to augment or update model parameters for performance i…
cs.CL2024
Cost-Performance Optimization for Processing Low-Resource Language Tasks Using Commercial LLMs
Arijit Nag, Animesh Mukherjee, Niloy Ganguly +1
Large Language Models (LLMs) exhibit impressive zero/few-shot inference and generation quality for high-resource languages (HRLs). A few of them have been trained on low-resource l…