Bimetallic nanoparticles (BimNPs) have emerged as multifunctional nanomaterials with superior properties compared to their monometallic counterparts, owing to synergistic interactions between metal pairs. This review comprehensively explores the green synthesis of BimNPs using phytochemical-rich fruit peels as sustainable, low-cost reducing and stabilizing agents. We detail mechanisms of nanoparticle formation driven by fruit-peel polyphenols and flavonoids. Commonly used fruit peels including banana, citrus, pomegranate, and papaya are analysed with respect to phytochemical composition, extraction techniques, and resultant BimNP characteristics. We discuss biomedical, environmental remediation, and sensing applications. Challenges related to reproducibility, scalability, toxicity, and regulatory gaps are highlighted, alongside future strategies involving artificial intelligence, advanced characterization, and the valorisation of underexplored peel sources. The review underscores the promising role of fruit-peel-based green nanotechnology in sustainable nanomaterial innovation.
GAOKAO-Bench is introduced, an intuitive benchmark that employs questions from the Chinese GAOKAO examination as test samples, including both subjective and objective questions that contribute a robust evaluation benchmark for future large language models and offers valuable insights into the advantages and limitations of such models.
Xiaotian Zhang, Chun-yan Li, Yi Zong et al.· arXiv.org· 216 citations· ⚡17
Empirically, PRISM reduces the end-to-end time for data selection and model tuning to just 30% of conventional pipelines, and achieves this efficiency while simultaneously enhancing performance, surpassing models fine-tuned on the full dataset across eight multimodal and three language understanding benchmarks.
Jinhe Bi, Yifan Wang, Danqi Yan et al.· arXiv.org· 73 citations· ⚡4
The method, ECCOLA, is presented, which aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.
Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson· EUROMICRO Conference on Soft...· 64 citations· ⚡6
This paper designs Markov decision processes (MDPs) for different combinatorial problems and proposes to train conditional GFlowNets to sample from the solution space and demonstrates that GFlowNet policies can efficiently find high-quality solutions.
Dinghuai Zhang, H. Dai, Esmeralda S. Whitammer et al.· Advances in Neural Informati...· 59 citations· ⚡8
An empirical study on the current state of practice in artificial intelligence ethics is conducted by means of a multiple case study of five case companies, which indicates a gap between research and practice in the area.
Ville Vakkuri, Kai-Kristian Kemell, Joni Kultanen et al.· arXiv.org· 56 citations· ⚡6