11 citations · 26 across the 16 of their papers we have counts for
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cs.SE2024★ 5 cited
The Larger the Better? Improved LLM Code-Generation via Budget Reallocation
Michael Hassid, Tal Remez, Jonas Gehring +2
It is a common belief that large language models (LLMs) are better than smaller-sized ones. However, larger models also require significantly more time and compute during inference…
cs.CL2024★ 1 cited
Transformers are Multi-State RNNs
Matanel Oren, Michael Hassid, Nir Yarden +2
Transformers are considered conceptually different from the previous generation of state-of-the-art NLP models - recurrent neural networks (RNNs). In this work, we demonstrate that…