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Entities25 of 207,987
- large language modeltechnology1,043 mentions
- robotic manipulationmarket824 mentions
- artificial intelligencetechnology739 mentions
- reinforcement learningtechnology491 mentions
- density-functional theorytechnology386 mentions
- Transformertechnology371 mentions
- agentic AItechnology353 mentions
- vision-language-action modeltechnology350 mentions
- U.S. Food and Drug Administrationorganization320 mentions
- Vision-Language Modeltechnology318 mentions
- Microsoftorganization291 mentions
- Googleorganization276 mentions
- NVIDIAorganization264 mentions
- Model Context Protocoltechnology232 mentions
- machine learningtechnology204 mentions
- MarketsandMarketsorganization199 mentions
- Claudeproduct192 mentions
- AI agenttechnology188 mentions
- ChatGPTproduct178 mentions
- Anthropicorganization177 mentions
- integrated sensing and communicationtechnology175 mentions
- Amazon Web Services, Inc.organization174 mentions
- OpenAIorganization172 mentions
- diffusion modeltechnology169 mentions
- IBMorganization163 mentions
Entity
softmax attention
technology12 mentionslast seen Nov 10, 2026
An attention mechanism with a novel scalable variant in TabICLv2 that improves generalization to larger datasets.
Relationships 17
- softmax attentiondepends onGaussian kernel92% confidence1 source
- softmax attentiondepends onBorn-rule measurement90% confidence1 source
- Interdomain Attentiondepends onsoftmax attention90% confidence1 source
- TabICLv2depends onsoftmax attention90% confidence1 source
- quantum-derived doubly stochastic matrixsupersedessoftmax attention90% confidence1 source
- softmax attentiondepends onHadamard test88% confidence1 source
- Abstract Token Curriculumdepends onsoftmax attention88% confidence1 source
- softmax attentioncomposed ofGaussian kernel85% confidence1 source
- softmax attentiondepends onblock encoding85% confidence1 source
- softmax attentiondepends onlow-rank approximation85% confidence1 source
- softmax attentiondepends onamplitude encoding85% confidence1 source
- DeepEDMdepends onsoftmax attention85% confidence1 source
- GPT-2implementssoftmax attention80% confidence1 source
- Qwen2.5implementssoftmax attention80% confidence1 source
- Vision Transformerimplementssoftmax attention80% confidence1 source
- BERTimplementssoftmax attention80% confidence1 source
- Linear Attentionsupersedessoftmax attention65% confidence1 source
Relationship
DeepEDMdepends onsoftmax attention
85% confidence1 supporting mentions
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Sources 1