Papers with FLOPs efficiency

1 papers
Text Compression for Efficient Language Generation (2025.naacl-srw)

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Challenge: Existing models rely on sub-word tokens for text generation, but there is no evidence for a more efficient way to generate text.
Approach: They propose a hierarchical transformer language model capable of text generation by compressing text into sentence embeddings and employing a sentence attention mechanism.
Outcome: The proposed model achieves an up to an order of magnitude improvement in FLOPs efficiency and a threefold increase in runtime speed compared to equally-sized models in the low-size regime.

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