These findings show that reliable evaluation of LLM-generated code requires validated ground truth, protected tests, and multiple explicitly interpreted measures, and that CodeAssay provides a reproducible basis for evidence-based model evaluation in AI-augmented software development.
Shahbaz Siddeeq, Muhammad Waseem, Umar Subhan Malhi et al.· 0 citations
Programmable Logic Controllers (PLCs) are central to industrial automation, yet their programming remains largely manual and time-consuming. While Large Language Models (LLMs) excel at general-purpose code generation, their use in industrial control is limited by tight coupling with physical hardware, constrained I/O s...
Teresa Cacciapaglia, D. Ruffino, D. Naso et al.· International Conference on...· 0 citations
The first comprehensive benchmarking framework specifically designed to accommodate inter-dataset heterogeneity is presented, finding that well-designed small datasets can match or even surpass the performance of larger benchmarks, suggesting that different metrics are applicable to different datasets/testing scenarios...
Yingjuan Cheng, Qing Ye, Linlong Jiang et al.· Journal of Cheminformatics· 0 citations
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A novel committor learning framework grounded in the AlphaFold 3 paradigm is proposed that elucidates how ligand substituents regulate the ratio between distinct binding pathways, offering new perspectives for structure-based drug design.
Jintu Zhang, Zichang Jin, Huifeng Zhao et al.· 0 citations
The CRISPR strategy shows compelling evidence as a therapeutic approach targeting PE in cancer and other human diseases as well as the preferential advantages of CRISPR over the antisense technology recently developed targeting the PE of EZH2.
Evidence is synthesized from genetically engineered mouse models that enhanced trypsinogen autoactivation alone is sufficient for spontaneous disease, that NF-κB-driven inflammation can be initiated independently of trypsin, and that loss of autophagy alone disrupts acinar homeostasis, which reframe pancreatitis as a n...
Ting Yan, Qinghua Lin, Shaoqun Huang et al.· Frontiers in Physiology· 0 citations
Whether, and where, genomic technologies have altered breeding outcomes rather than merely accelerating gene discovery is examined, and the available evidence indicates that genomic resources have substantially improved the resolution of resistance discovery and the precision of marker-assisted introgression, but have...
Vishal Singh, Mitali Tiwari, Diksha Kushwaha et al.· Uttar Pradesh Journal of Zoo...· 0 citations
Recommendations are formulated for building a genetic health management system in beef cattle breeding, based on mandatory DNA testing, inbreeding control, accounting for pleiotropic effects in selection, and the integration of advanced biotechnologies.
N. Bezborodova, O. Sokolova, O. S. Zaitseva et al.· International Journal of Vet...· 0 citations
These results provide new insights into HvDEP1′s role in both shoot and root systems and demonstrate that precise CRISPR/Cas9-mediated editing can rapidly introduce dwarfism while revealing trade-offs in other agronomic traits.
Jovana Eskildsen, Tobias Hanak, R. Hood-Nowotny et al.· International Journal of Pla...· 0 citations
This review provides a comprehensive foundation for understanding the biology, phytochemistry, biotechnology, and utilization of this invaluable botanical resource, offering a strategic roadmap for its sustainable management and commercial valorization.
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.