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Zilinghan Li

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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
#federated learning Preprint Sep 2026

Federated Learning on the American Science Cloud using APPFL

It is argued that offering federated computing as an important AmSC service would unlock privacy-constrained scientific collaborations, enabling public-private partnerships in model building while exercising and enhancing the platform's own federated infrastructure.

Zilinghan Li, Abhijith Chunduru, Harinarayan Krishnan et al. · 0 citations

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