- Nathan Hamill, Razi Iqbal. Regression-Based Small Language Models for DER Trust Metric Extraction from Structured and Semi-Structured Data. Big Data Cogn. Comput., 10(2), 2026.
- Kehan Li, Zhenya Wang, Xin Tang, Heng You, Long Hu, Haidong Xie, Min Chen 0003. CCTD-MARL: Coupled Communication-Task Decoupling Framework for Multi-Agent Systems Under Partial Observability. Big Data Cogn. Comput., 10(2), 2026.
- Chuan Zhan, Yang Zhou, Yanping Huang. Research on Emerging Technology Identification Methods Based on a Knowledge Graph of High-Value Patents. Big Data Cogn. Comput., 10(2), 2026.
- Jovita Urnikiene, Vaida Steponaviciene, Svetoslav Atanasov. Comparative Read Performance Analysis of PostgreSQL and MongoDB in E-Commerce: An Empirical Study of Filtering and Analytical Queries. Big Data Cogn. Comput., 10(2), 2026.
- Yuezhao Liu, Wei Li 0061, Yijie Wang, Ningtong Chen, Min Chen 0003. ISFJ-RAG: Interventional Suppression of Hallucinations via Counter-Factual Joint Decoding Retrieval-Augment Generation. Big Data Cogn. Comput., 10(2), 2026.
- Omar Saad Almousa, Yahya M. Tashtoush, Anas M. R. Alsobeh, Plamen Z. Zahariev, Omar A. Darwish. SiAraSent: From Features to Deep Transformers for Large-Scale Arabic Sentiment Analysis. Big Data Cogn. Comput., 10(2), 2026.
- Martin Miciak, Dominika Toman, Milan Kubina, Tatiana Poljaková, Klaudia Ivanovic, Kvetoslava Simová, Anna Majchráková, Ivana Bystrická, Linda Kovácik, Tibor Furmánek. Modern ICT Tools and Video Content in Athletes' Education - Inspiration from Corporate Learning and Development. Big Data Cogn. Comput., 10(2), 2026.
- Vadim Voloshchuk, Yaroslav Melnik, Irina Safronenkova, Egor Lishchenko, Oleg O. Kartashov, Alexander Kozlovskiy. Hybrid Method of Organizing Information Search in Logistics Systems Based on Vector-Graph Structure and Large Language Models. Big Data Cogn. Comput., 10(2), 2026.
- Xianming Yang, Qi Li, Chengdong Qian, Haitao Wang, Yonghui Wu, Wei Wang. Bias Correction and Explainability Framework for Large Language Models: A Knowledge-Driven Approach. Big Data Cogn. Comput., 10(2), 2026.
- Xinghua Qin, Sizheng Liu, Mengmeng Zhang, Jun Tang 0001, Yirun Ruan. AMPS: A Direction-Aware Adaptive Multi-Scale Potential Model for Link Prediction in Complex Networks. Big Data Cogn. Comput., 10(2), 2026.