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pnawrot.bsky.social

@pnawrot.bsky.social
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Reposted by @pnawrot.bsky.social
Edoardo Ponti @edoardo-ponti.bsky.social · 25/04/2025
Sparse attention is one of the most promising strategies to unlock long-context processing and long-generation reasoning in LLMs. We performed the most comprehensive study on training-free sparse attention to date. Here is what we found:
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Reposted by @pnawrot.bsky.social
Sasha Rush @srushnlp.bsky.social · 21/11/2024
Several incredible NeurIPS tutorials this year. Worth navigating through the Swifties.
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Reposted by @pnawrot.bsky.social
Edoardo Ponti @edoardo-ponti.bsky.social · 20/11/2024
Another nano gem from my amazing student Piotr Nawrot! A repo & notebook on sparse attention for efficient LLM inference: github.com/PiotrNawrot/... This will also feature in my #NeurIPS 2024 tutorial "Dynamic Sparsity in ML" with André Martins: dynamic-sparsity.github.io Stay tuned!
A sparse mask of attention scores based on VerticalAndSlashAttention and a plot of loss vs sparsity ratio for various methods.
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