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Found 3 papers, 2 papers with code
Large Language Models on Lexical Semantic Change Detection: An Evaluation
Lexical Semantic Change Detection stands out as one of the few areas where Large Language Models (LLMs) have not been extensively involved.
FlexModel: A Framework for Interpretability of Distributed Large Language Models
With the growth of large language models, now incorporating billions of parameters, the hardware prerequisites for their training and deployment have seen a corresponding increase.
Learning quantum dynamics with latent neural ODEs
The core objective of machine-assisted scientific discovery is to learn physical laws from experimental data without prior knowledge of the systems in question.
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