BlockSearch: Research on Million-Token Context Retrieval
dair_ai · x · 2026-07-06
dairai shared a study that systematically investigates context retrieval at a one-million-token corpus scale, reflecting the real-world challenge faced by retrievers, and evaluates length generalization far beyond training limits.
The paper introduces BlockSearch, a 0.6B-parameter LM retriever. Through architectural and training improvements, it outperforms previous LM baselines and extends its length generalization capabilities to over 10 times its training length.
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