Research paper by Olufemi Samuel Ojo and collaborators, published 2026 in International Journal of Multidisciplinary and Current Research. Research area: Metaheuristic Optimization Algorithms Research.
Olufemi Samuel Ojo, Waheed Oyekunle Ganiyu, Joshua Ayobami Ayeni, Mayowa Oyedepo Oyediran
Research paper by Giuseppe Angelico and collaborators, published 2025 in Pathologica. Research area: AI in cancer detection.
Giuseppe Angelico, Saveria Spadola, Angela Santoro, A Mulè, Federica D’Aquila, Gabriele La Cava, Stefano Marletta, Michele Valente, Belen Padial Urtueta, Francesca Addante, Nadine Narducci, Lorenzo Memeo, Cristina Colarossi, Antonio Rizzo, Gian Franco Zannoni
Research paper by Gökhan Kayhan and collaborators, published 2026 in Biomimetics. Research area: Metaheuristic Optimization Algorithms Research.
Gökhan Kayhan, Seyma Hasbolat Unal
Research paper by Bo-Wen Zhang and collaborators. Published 2024-08-14. Topics: HeuriMentor, HM System, Adaptive Training Engine, Training State Monitor, Data Management Unit.
Bo-Wen Zhang, Liangdong Wang, Jijie Li, Shuhao Gu, Xinya Wu, Zhengduo Zhang, Boyan Gao, Yulong Ao, Guang Liu
Research paper by Heerthihaa G S and collaborators, published 2026. Research area: AI in cancer detection.
Heerthihaa G S, Sathya Narayana Sharma K
Recently, both closed-source LLMs and open-source communities have made significant strides, outperforming humans in various general domains. However, their performance in specific professional fields such as medicine, especially within the open-source community, remains suboptimal due to the complexity of medical knowledge. We propose Aquila-Med, a bilingual medical LLM based on Aquila, addressing these challenges through continue pre-training, supervised fine-tuning (SFT), and reinforcement learning from human feedback (RLHF). We construct a large-scale Chinese and English medical dataset for continue pre-training and a high-quality SFT dat
Zhao, Lulu, Zeng, Weihao, Shi, Xiaofeng, Zhou, Hua, Hao, Donglin, Lin, Yonghua
Research paper by D. Contreras and collaborators, published 2025 in CINECA IRIS Institutial research information system (University of Pisa). Research area: Sentiment Analysis and Opinion Mining.
D. Contreras, G. Forino, C. Pezzica, F. Liberatore, S. Wilkinson, Enes Veliu
This paper is an examination of Evangelism through Artificial Intelligence-Generated Content: Opportunities and Pitfalls and in the Global Evangelism: Empowering Believers, Transforming Cultures to replace the human capacity in oblige to the Masters instruction, in an obedience and faithfulness to God’s injunctions in Matthew 28:18-20. The paper expounds the compositions of the recipients of God's injunction in Matthew 28:18-20. How it affects the obedience of contemporary disciples in fulfilling the great commission and the task in relation to the Artificial Intelligence-Generated Content in what God has committed in our care. The paper expa
ADESANYA, Bolaji Aquila Adegoke
Research paper by Madhab Paul Choudhury and collaborators, published 2026 in IEEE International Conference on Recent Advances in Electronics, Communication, Computing, Automation and Power (RECCAP). Research area: AI in cancer detection.
Madhab Paul Choudhury, A.C.S. Rao, Monu Bhagat
Research paper by Manoj Kumar and collaborators, published 2026 in Scientific Reports. Research area: Metaheuristic Optimization Algorithms Research.
Manoj Kumar, Noor Mohd, G. Shivam, Ankur Goyal, Deepak Parashar, Rijwan Khan
Research paper by Shuhao Gu and collaborators. Published 2024-10-24. Topics: Vision-Language Models, multimodal instruction dataset, quality filtering, deduplication, synthetic instruction generation.
Shuhao Gu, Jialing Zhang, Siyuan Zhou, Kevin Yu, Zhaohu Xing, Liangdong Wang, Zhou Cao, Jintao Jia, Zhuoyi Zhang, Yixuan Wang, Zhenchong Hu, Bo-Wen Zhang, Jijie Li, Dong Liang, Yingli Zhao, Yulong Ao, Yaoqi Liu, Fangxiang Feng, Guang Liu
Research paper by Sabura Banu Urundai Meeran and collaborators, published 2026 in Asian Pacific Journal of Cancer Prevention. Research area: AI in cancer detection.
Sabura Banu Urundai Meeran, Kavitha S., Chinthamani B.