Robuta

https://csit.iaesprime.org/index.php/csit/article/view/289 A hierarchical mixed-effects modeling framework with Weibull reliability characterization for... hierarchicalmixedeffectsmodelingframework https://scholars.duke.edu/publication/1526457 Scholars@Duke publication: Facility-based disease surveillance and Bayesian hierarchical modeling... disease surveillancehierarchical modelingscholarsdukepublication https://www.1kpapers.com/papers/hierarchical-sparse-attention-done-right-toward-infinite-context-modeling Hierarchical Sparse Attention Done Right: Toward Infinite Context Modeling — AI Paper Summary Jul 3, 2026 - The paper introduces Hierarchical Landmark Sparse (HiLS) Attention, a chunk-wise sparse attention mechanism for large language models that learns chunk sel done rightcontext modelinghierarchicalsparseattention https://ai-search.io/papers/dynamic-chunking-for-end-to-end-hierarchical-sequence-modeling Dynamic Chunking for End-to-End Hierarchical Sequence Modeling - AI for Dummies - Understand the... This paper talks about Dynamic Chunking, a new way for AI models to learn and process sequences of data by breaking them into chunks that change based on the... dynamicchunkingendhierarchicalsequence