AI RESEARCH
Learning to Recall with Transformers Beyond Orthogonal Embeddings
arXiv CS.LG
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ArXi:2603.15923v1 Announce Type: cross Modern large language models (LLMs) excel at tasks that require storing and retrieving knowledge, such as factual recall and question answering. Transformers are central to this capability because they can encode information during