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cs.CL2026
Optimal Model Activation Policies for Inference Networks of Large Language Models
Foivos Charalampakos, Md Ibrahim Ibne Alam, Iordanis Koutsopoulos +1
Recent advances in large language models (LLMs) have rendered them necessary for Natural Language Processing (NLP) tasks, and their high inference cost motivates the study of cost-…
cs.LG2026
Learning to Fine-tune Foundation Models under Resource Limitations
Thomas Tsouparopoulos, Iordanis Koutsopoulos
We study the problem of optimal continual fine-tuning for a pre-trained Foundation Model deployed at a resource-limited device. At each time slot, a new batch of training data arri…