Paper
Dados & Embeddings
Simplified Sparse Attention via Gist Tokens
Simplified Sparse Attention (SSA) reduces long-context inference costs through gist token-based attention masking during pretraining, enabling efficient chunk selection at inferenc…
Hugging Face · Daily Papers
·Yuzhen Mao, Michael Y. Li
·
·▲ 1 upvotes
Este artigo está em destaque na seleção diária de papers do Hugging Face, curada pela comunidade de pesquisa em IA.
Autores: Yuzhen Mao, Michael Y. Li, Emily B. Fox
- 1 upvotes da comunidade
- Temas: sparse attention, gist tokens, attention mask, next-token loss, continued pretraining, attention scoring
Resumo
Resumo original (em inglês), extraído do paper:
Simplified Sparse Attention (SSA) reduces long-context inference costs through gist token-based attention masking during pretraining, enabling efficient chunk selection at inference time without architectural modifications.Onde ler
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