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ADE: Adaptive Dictionary Embeddings -- Scaling Multi-Anchor Representations to Large Language Models

Adaptive Dictionary Embeddings (ADE) applies multi-anchor representation scaling to large language models, potentially improving embedding efficiency and model expressiveness through adaptive dictionary mechanisms.

Thursday, April 30, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.CL (Computation & Language)BY sys://pipeline

Research paper proposing Adaptive Dictionary Embeddings (ADE), a technique for scaling multi-anchor representations to large language models. Foundational work on embedding methods that could improve LLM efficiency or expressiveness.

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