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The paper proposes glimmer, a memory-retrieval hybrid that improves on the lumen approach by incorporating multi-task training and a shallow reranker to achieve strong gains in performance on knowledge-intensive tasks.
https://arxiv.org/abs//2306.10231
YouTube: https://www.youtube.com/@ArxivPapers
PODCASTS:
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers
By Igor Melnyk5
33 ratings
The paper proposes glimmer, a memory-retrieval hybrid that improves on the lumen approach by incorporating multi-task training and a shallow reranker to achieve strong gains in performance on knowledge-intensive tasks.
https://arxiv.org/abs//2306.10231
YouTube: https://www.youtube.com/@ArxivPapers
PODCASTS:
Apple Podcasts: https://podcasts.apple.com/us/podcast/arxiv-papers/id1692476016
Spotify: https://podcasters.spotify.com/pod/show/arxiv-papers

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