Papers by Christoforos Nalmpantis

1 papers
Neurons in Large Language Models: Dead, N-gram, Positional (2024.findings-acl)

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Challenge: We analyze a family of large language models in such a lightweight manner that can be done on a single GPU.
Approach: They analyze a family of large language models that rely on whether an FFN neuron is activated or not . they use a single GPU to analyze the OPT network and use it to analyze data .
Outcome: The proposed model is lightweight and can be run on a single GPU.

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