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Pre-training Large Memory Language Models with Internal and External Knowledge
We introduce Large Memory Language Models (LMLMs) that store factual knowledge externally, enabling targeted lookups and improving verifiability, while maintaining competitive performance on standard benchmarks.
https://arxiv.org/abs//2505.15962
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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By Igor Melnyk
5
33 ratings
We introduce Large Memory Language Models (LMLMs) that store factual knowledge externally, enabling targeted lookups and improving verifiability, while maintaining competitive performance on standard benchmarks.
https://arxiv.org/abs//2505.15962
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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