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DTQAtten: Leveraging Dynamic Token-based Quantization for Efficient Attention Architecture

Research article (2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2022) · cited 25× · AI/ML
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DTQAtten: Leveraging Dynamic Token-based Quantization for Efficient Attention Architecture

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DTQAtten: Leveraging Dynamic Token-based Quantization for Efficient Attention Architecture is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). DTQAtten: Leveraging Dynamic Token-based Quantization for Efficient Attention Architecture. Retrieved May 24, 2026, from https://4ort.xyz/entity/dtqatten-leveraging-dynamic-token-based-quantization-for-efficient-attention-architecture
MLA “DTQAtten: Leveraging Dynamic Token-based Quantization for Efficient Attention Architecture.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dtqatten-leveraging-dynamic-token-based-quantization-for-efficient-attention-architecture.
BibTeX @misc{4ortxyz_dtqatten-leveraging-dynamic-token-based-quantization-for-efficient-attention-architecture_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DTQAtten: Leveraging Dynamic Token-based Quantization for Efficient Attention Architecture}}, year = {2026}, url = {https://4ort.xyz/entity/dtqatten-leveraging-dynamic-token-based-quantization-for-efficient-attention-architecture}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DTQAtten: Leveraging Dynamic Token-based Quantization for Efficient Attention Architecture — https://4ort.xyz/entity/dtqatten-leveraging-dynamic-token-based-quantization-for-efficient-attention-architecture (retrieved 2026-05-24)

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