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Freely Long-Thinking Transformer (FraiLT)
Feb. 27, 2024, 5:44 a.m. | Akbay Tabak
cs.LG updates on arXiv.org arxiv.org
Abstract: Freely Long-Thinking Transformer (FraiLT) is an improved transformer model designed to enhance processing capabilities without scaling up size. It utilizes a recursive approach, iterating over a subset of layers multiple times, and introduces iteration encodings to maintain awareness across these cycles. Iteration encoding allows FraiLT to achieve the interpretive depth of larger models in a compact form. When evaluated on a synthetic story dataset, FraiLT outperformed larger models, showcasing its ability to deliver high-quality performance …
abstract arxiv capabilities cs.cl cs.lg encoding iteration multiple processing recursive scaling scaling up thinking transformer transformer model type
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