The current popular method for test-time scaling in LLMs is to train the model through reinforcement learning to generate longer responses with chain-of-thought (CoT) traces. This approach is used in ...

Tensor Extraction of Latent Features (T-ELF). Within T-ELF's arsenal are non-negative matrix and tensor factorization solutions, equipped with automatic model determination (also known as the ...

New research has uncovered a complex interplay between extracellular matrix (ECM) structure and the transcriptional responses of cancer cells, showing how they alter their gene expression to ‘escape’ ...