The Lancet

CARDBiomedBench: a benchmark for evaluating the performance of large language models in biomedical research

Although large language models (LLMs) have the potential to transform biomedical research, their ability to reason accurately across complex, data-rich domains remains unproven. To address this ...

Are Large Language Models A Dead End Or Simply Incomplete?

Once a model is deployed, its internal structure is effectively frozen. Any real learning happens elsewhere: through retraining cycles, fine-tuning jobs or external memory systems layered on top. The ...
ascopubs.org

Enhancing Patient-Trial Matching With Large Language Models: A Scoping Review of Emerging Applications and Approaches

A comprehensive search was conducted in PubMed, Web of Science, and OpenAlex for literature published between December 1, 2022, and December 31, 2024. Studies were included if they explicitly ...
EurekAlert!

A survey on multilingual large language models: corpora, alignment, and bias

Multilingual Large Language Models (MLLMs) have achieved remarkable success in advancing multilingual natural language ...
Semiconductor Engineering

Small Vs. Large Language Models

The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...