Structuring agentic AI for HPC code modernization
arXiv:2606.08710v1 Announce Type: cross Abstract: Modernization of legacy scientific codes is often necessary to keep up with the ever-evolving changes…
arXiv:2606.08710v1 Announce Type: cross Abstract: Modernization of legacy scientific codes is often necessary to keep up with the ever-evolving changes…
arXiv:2606.08712v1 Announce Type: cross Abstract: Purpose: Spatial transcriptomics (ST) enables gene expression measurements within the tissue context. However, these measurements…
arXiv:2606.07379v2 Announce Type: replace-cross Abstract: A growing failure mode in agent evaluation and training is that models can achieve high…
arXiv:2606.07549v1 Announce Type: new Abstract: Recent advances in Multimodal Large Language Models (MLLMs) and agent workflows have shown strong promise…
arXiv:2606.09178v1 Announce Type: cross Abstract: Multilingual safety evaluation of large language models (LLMs) has predominantly relied on direct translation (DT)…
arXiv:2606.04812v2 Announce Type: replace-cross Abstract: Guaranteeing safety is critical to the deployment of reinforcement learning (RL) agents in the real-world,…
arXiv:2606.07325v1 Announce Type: cross Abstract: We study the minimax rate of estimating a future value $mu_{t_n+h}$ of a curve $tmapstomu_t$…
arXiv:2606.07351v1 Announce Type: cross Abstract: Classification of sleep stages is one of the most important diagnostic approaches for a variety…
arXiv:2606.05654v2 Announce Type: replace-cross Abstract: Hate moderation is often evaluated as classification on clean English inputs, but deployed systems must…
arXiv:2606.06514v1 Announce Type: new Abstract: Machine learning systems deployed in high stakes socioeconomic settings routinely display bias. We formalize bias…