Author

Dianbo Liu

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#large language models Open access Oct 2026

Human-like content analysis for generative AI with language-grounded sparse encoders

The rapid development of generative AI has transformed content creation, communication, and human development. However, this technology raises profound concerns in high-stakes domains, demanding rigorous methods to analyze and evaluate AI-generated content. While existing analytic methods often treat images as indivisi...

Yiming Tang, Arash Lagzian, Srinivas Anumasa et al. · npj Artificial Intelligence · 0 citations

#large language models Open access Sep 2026

LEME: open large language models for ophthalmology with advanced reasoning and clinical validation

The rising prevalence of eye diseases poses a growing public health burden. Large language models (LLMs) offer a promising path to reduce documentation workload and support clinical decision-making. However, few have been tailored for ophthalmology, and most evaluations focus mainly on knowledge-based QA without clinic...

Hyunjae Kim, X. C. Ai, Sahana Srinivasan et al. · npj Digital Medicine · 1 citation