As large language models (LLMs) gain momentum worldwide, there’s a growing need for reliable ways to measure their performance. Benchmarks that evaluate LLM outputs allow developers to track ...
Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. A few public databases provide biological activity data for ...
Antibiotic resistance is emerging as a critical global public health threat. The precise prediction of bacterial antibiotic resistance genes (ARGs) and phenotypes is essential to understand resistance ...
Seismic first break (FB) picking helps us with near surface tomography, microseismic detection among other tasks. Using image semantic segmentation (ISS) networks to do so has been a hot topic in ...
Abstract: Deep learning (DL) requires large amounts of labeled data, which is extremely time-consuming and labor-intensive to obtain for medical image segmentation ...
Human vs. AI: A comparative effectiveness study of large language models for automated biomarker extraction. This is an ASCO Meeting Abstract from the 2025 ASCO Annual Meeting I. This abstract does ...
ABSTRACT: This study focuses on the application of Task-based Language Teaching (TBLT) in Integrated English classroom instruction. As a “learning by doing” language teaching method that emerged in ...
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