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Found 3 papers, 3 papers with code
Are Compressed Language Models Less Subgroup Robust?
To reduce the inference cost of large language models, model compression is increasingly used to create smaller scalable models.
Fast Vocabulary Transfer for Language Model Compression
Real-world business applications require a trade-off between language model performance and size.
Multi-word Tokenization for Sequence Compression
Large Language Models have proven highly successful at modelling a variety of tasks.
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