concept
active
concept:key-query-attentionKey-query attention
Attention mechanism in AI used in Transformers; also proposed for GWT implementations.
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Papers (1)
paper
Related by similarity (8)
cosine ≥ 0.65 · no typed edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- Variant of multi-head attention used in Llama3 and Qwen2.5 models evaluated in this paper
- Selective attention mechanism is a component of GWT-2 indicator; AST-1 models and enables control over attention
- A predictive model representing and controlling attention; central to attention schema theory.
- Phenomenon where layers concentrate most attention weight on the first token, captured by ColSum Concentration metric
- Process using Q, K, V to compute a heat map over K and weighted sum of V.
- An Elephant action of answering a query.
- Key architectural modification restricting queries and keys to position encodings while values depend only on stimuli; extreme version of best-practice insight.
- A pair of query and key subcomponents distributed across attention heads performs previous-token behaviorfinding0.727VPD recovers an attention algorithm for attending to the previous token, distributed across multiple heads.