SwiftRepertoire synthesizes compact adapters from prototype dictionaries conditioned on repertoire probes for few-shot adaptation of pretrained encoders in immune signature detection.
Prototype-based hyperadapter for sample-efficient multi-task tuning
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HybridMoE with controlled hybridization and idiomatic property signals yields 5-6% gains in figurative language representation for multilingual vision-language models.
A comprehensive survey of PEFT algorithms for large models, covering their performance, overhead, applications, and real-world system implementations.
citing papers explorer
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SwiftRepertoire: Few-Shot Immune-Signature Synthesis via Dynamic Kernel Codes
SwiftRepertoire synthesizes compact adapters from prototype dictionaries conditioned on repertoire probes for few-shot adaptation of pretrained encoders in immune signature detection.
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When Meaning Travels: A Granular Lens on Hybrid-MoE's Role in Idiomatic Understanding for Language Models
HybridMoE with controlled hybridization and idiomatic property signals yields 5-6% gains in figurative language representation for multilingual vision-language models.
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Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
A comprehensive survey of PEFT algorithms for large models, covering their performance, overhead, applications, and real-world system implementations.