Focus Session: Hardware and Software Techniques for Accelerating Multimodal Foundation Models
arXiv 2604.21952•8328841f033e6cfbac74698a88b9cae32307c30d5bcf923f9b6e1ddf63c65413
attention optimizationhardware acceleratorheterogeneous siliconkernel contractslayer-aware attentionllm-aided hardware designmodel cascadingmodel compressionmultimodal foundation modelsout-of-bounds behaviorpruningquantizationrobustnesssilent precision coercionspeculative decoding
Paper metadata
- arXiv ID
- 2604.21952
- Version
- Not specified by this published record
- Category
- Computer Science — Machine Learning (cs.LG)
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Evidence and limitations
- Source ID
- arxiv_cs_lg
- Record identifier
- 8328841f033e6cfbac74698a88b9cae32307c30d5bcf923f9b6e1ddf63c65413
- Enrichment time
- 2026-04-27T08:52:19Z
- AI-assisted enrichment
- Yes
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