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Study examines in-context retrieval with millions of tokens
Published on July 3, 2026, the report describes a study of answer retrieval from large in-context corpora and generalization to longer lengths.
A study examines whether language models can retrieve answers directly from corpora placed in context, in experiments involving millions of tokens. The report notes attention dilution and says the authors propose adjustments that account for length. The research also examines length generalization and the limits of using large in-context corpora as an alternative to vector-based retrieval.
To check the details, consult the paper and the post reporting on the study, published on July 3, 2026. Compare the report's claims with the methods, results, and limitations in the paper; the supplied material does not specify quantitative values or further findings.
Original source: Estudo de retrieval in-context em escala de milhões de tokens