In-context retrieval: study tests scale up to one million tokens
A paper published on July 6, 2026, examines language models as retrievers over one-million-token corpora. Its 0.6-billion-parameter BlockSearch generalizes up to 10 times beyond its training length, according to the study.
Source: Estudo de retrieval in-context em escala de um milhão de tokens (arxiv.org). Text prepared with AI from this source.
What happened and what to do
Published on July 6, 2026, the paper studies language models as in-context retrievers over one-million-token corpora and examines generalization to longer lengths. It presents BlockSearch, a 0.6-billion-parameter retriever that, according to the study, generalizes up to 10 times beyond the length used for training.
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