AINeutralarXiv – CS AI · Mar 47/103
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Retrievit: In-context Retrieval Capabilities of Transformers, State Space Models, and Hybrid Architectures
Research compares Transformers, State Space Models (SSMs), and hybrid architectures for in-context retrieval tasks, finding hybrid models excel at information-dense retrieval while Transformers remain superior for position-based tasks. SSM-based models develop unique locality-aware embeddings that create interpretable positional structures, explaining their specific strengths and limitations.