Recent advancements have positioned AI, and particularly Large Language Models (LLMs) as transformative tools for scientific research, capable of addressing complex tasks that require reasoning, problem-solving, and decision-making. Their exceptional capabilities suggest their potential as scientific research assistant...
Franck Cappello, Sandeep Madireddy, Robert Underwood et al.· The international journal of...· 0 citations
Recurrent models trained from scratch have recently become competitive on ARC-style reasoning tasks, but the usual framing around small recurrent backbones overlooks two important parts of the system: task-conditioned memory and synthetic augmentation data. We study this regime through CHARM, a compact hybrid ARC model...
Zi-Xuan Zhao, Samuel Wheeler, Neil Getty et al.· 0 citations
The application of causal discovery to characterizing transcriptional responses to radiation as a function of dose rate in human cells is explored and inferred causal graphs reveal structured network features such as high in-degree housekeeping genes and high out-degree transcription factors.
Ashka Shah, Rick L. Stevens· 0 citations
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