As AI agents increasingly tackle complex repository-level coding tasks, distributing work across multiple agents is a natural way to scale beyond the capabilities of a single agent. To coordinate their interdependent work, these agents share findings and agree on interfaces between modules. However, exchanged informati...
Jia-Qi Xue, Yan-Jun Wang, Xiangci Li et al.· 0 citations
Autonomous coding agents solve repository issues by reading code, running commands, editing files, and submitting patches. Extra inference-time compute yields gains only when it produces a useful repair and supplies reliable evidence for choosing one. Three behaviors decide both, and we argue they are teachable rather...
Muhammad Ahmed Mohsin, Myeongsoo Kim, Kang-Rui Ruan et al.· 0 citations
Acute chest syndrome (ACS) causes significant morbidity and mortality in both adult and pediatric patients with sickle cell disease (SCD). Despite known risk factors for developing ACS, this complication is often unexpected. We hypothesized that a machine learning model could predict progression to ACS in children. A r...
Kerry A. Morrone, Shweta Garg, B. Aasman et al.· Blood Advances· 0 citations
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