ABSTRACT This paper discusses AI integration in the English language education and its impact on the accumulation and improvising of the language in overall aspects of a learner. This paper investigates the impact of AI-driven tools such as Grammarly, ChatGPT, Microsoft Bing Chat, Duolingo on English language learning. These various tools help in the overall language learning processes such as speaking, writing, reading, and listening. The article addresses the significant gap in the learning and teaching of English education and the inculcation of AI driven tools such as hello talk Duolingo Google Gemini Grammarly twee etc has created a subs
KRUTHIKA R
Research paper by mondfe researcher, published 2026 in Figshare. Research area: Adversarial Robustness in Machine Learning.
mondfe researcher
Research paper by mondfe, published 2026 in Zenodo (CERN European Organization for Nuclear Research). Research area: Adversarial Robustness in Machine Learning.
mondfe
Research paper by Abdullah Al Mujahid and collaborators. Published 2026-01-12. Topics: large language models, generative AI, technical debt, self-admitted technical debt, AI-assisted code.
Abdullah Al Mujahid, Mia Mohammad Imran
Research paper by Michael Warrington and collaborators, published 2026 in Zenodo (CERN European Organization for Nuclear Research). Research area: Reinforcement Learning in Robotics.
Michael Warrington, Claude Gemini chatgpt
Research paper by Ting Huang and collaborators. Published 2025-07-31. Topics: 3D-R1, VLMs, 3D scene understanding, Scene-30K, Gemini 2.5 Pro.
Ting Huang, Zeyu Zhang, Hao Tang
Research paper by Chaoyou Fu and collaborators. Published 2023-12-19. Topics: Multi-modal Large Language Models, MLLMs, GPT-4V, Gemini, visual understanding.
Chaoyou Fu, Renrui Zhang, Haojia Lin, Zihan Wang, Timin Gao, Yongdong Luo, Yubo Huang, Zhengye Zhang, Longtian Qiu, Gaoxiang Ye, Yunhang Shen, Mengdan Zhang, Peixian Chen, Sirui Zhao, Xiawu Zheng, Shaohui Lin, Deqiang Jiang, Di Yin, Peng Gao, Ke Li, Xing Sun, Rongrong Ji
Research paper by Vignesh Chinthakuntla and collaborators, published 2026 in Research Square. Research area: Topic Modeling.
Vignesh Chinthakuntla, Sankar Ganesh Paramasivam, Neelarapu Tejaswini, Jagadesh Radhakrishnan
Research paper by Kavish Atul Sanghvi and collaborators, published 2026 in Computer Science and Information Technologies. Research area: Topic Modeling.
Kavish Atul Sanghvi, Aparna Sharma, Surbhi Hooda
Research paper by Yevhen Natoptannyi, published 2026 in OSF Preprints (OSF Preprints). Research area: Artificial Intelligence Applications.
Yevhen Natoptannyi
Research paper by Kavita Pandya, published 2026 in INTERNATIONAL JOURNAL OF RESEARCH AND ANALYTICAL REVIEWS. Research area: Topic Modeling.
Kavita Pandya
Background Perioperative neurocognitive disorders (PNDs) are common complications after surgery and anaesthesia, particularly in older adults, leading to increased morbidity, mortality, and healthcare costs. Therefore, major medical societies have developed recommendations for the prevention and treatment of PNDs. Our study evaluated the reliability of large language models, specifically ChatGPT-4 and Gemini, in generating recommendations for PND management and comparing them with published guidelines.Methods We conducted an online cross-sectional web-based analysis over 48 h in June 2024. Artificial intelligence (AI)-generated recommendation
Saxena, Sarah, Barreto Chang, Odmara L., Suppan, Melanie, Meco, Basak Ceyda, Vacas, Susana, Radtke, Finn, Matot, Idit, Devos, Arnout, Maze, Mervyn, Gisselbaek, Mia, Berger-Estilita, Joana
