MIT’s new ‘recursive’ framework lets LLMs process 10 million tokens without context rot

While standard models suffer from context rot as data grows, MIT’s new Recursive Language Model (RLM) framework treats ...
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Federated metadata-constrained iRadonMAP framework with mutual learning for all-in-one computed tomography imaging

FedM2CT consists of 3 modules, i.e., task-specific iRadonMAP (TS-iRadonMAP), condition-prompted mutual learning (CPML), and federated metadata learning (FMDL). TS-iRadonMAP performs the local CT image ...
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Revisiting what factors promote BIM adoption more effectively through the TOE framework: A meta-analysis

This study is led by Prof. Wenshun Wang and Ph.D. Min Tao (School of Mechanics and Civil Engineering, China University of Mining and Technology). This research gproup, for the first time, develops and ...