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[QA] Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models episode artwork

Jan 24, 2025 8 min

[QA] Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models

from Arxiv Papers Hosted by Igor Melnyk

This paper presents a novel attention mechanism that improves performance and stability over traditional Softmax attention, particularly for longer sequences, using a non-linear transformation and dynamic length scale factor. https://arxiv.org/abs//2501.13428 YouTube: https://www.youtube.com/@ArxivPapers TikTok: https://www.tiktok.com/@arxiv_papers Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016 Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

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[QA] Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models

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