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Rick L. Stevens

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Sep 2026

EAIRA: Establishing a methodology for evaluating LLMs as scientific research assistants

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. · 0 citations
#artificial intelligence Preprint Sep 2026

Structured Sparse Memory for Recurrent Reasoning

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
Preprint Jul 2026

Causal Discovery of Radiation Response Mechanisms in Human Cells

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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