A comprehensive index of artificial intelligence and machine-learning research with AI-generated summaries, citation metrics, and direct links to papers and code.
Yongjun Xu, Xin Liu, Xin Cao, et al.
A comprehensive survey of AI and machine learning applications across fundamental sciences, discussing challenges, potentials, and emerging research trends.
Md. Mostafizer Rahman, Yutaka Watanobe
Explores ChatGPT's opportunities and threats in education and research, with coding experiments and surveys on programming learning.
Rosario Michel‐Villarreal, Eliseo Luis Vilalta-perdomo, David Ernesto Salinas-Navarro, et al.
Adopts a thing ethnography approach to elicit ChatGPT's perspective on the challenges and opportunities of generative AI for higher education, emphasizing the need for policies and empirical research.
Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu
A comprehensive survey of security and privacy challenges in large language models, covering attacks, defenses, application risks, and future research directions.
Yutao Zhu, Huaying Yuan, Shuting Wang, et al.
A comprehensive survey of how large language models are integrated into information retrieval systems, covering query rewriters, retrievers, rerankers, readers, and search agents.
Junda He, Christoph Treude, David Lo
A systematic literature review of LLM-based multi-agent systems across the software development lifecycle, with case studies, research gaps, and a forward-looking agenda.
Jeff Johnson, Matthijs Douze, Hervé Jeǵou
Proposes a novel GPU k-selection design that accelerates brute-force, approximate, and product-quantization-based similarity search, achieving up to 8.5x speedup over prior GPU state of the art.
Hongyun Cai, Vincent Wenchen Zheng, Kevin Chen–Chuan Chang
A comprehensive survey of graph embedding that formalizes the problem, proposes two taxonomies, summarizes applications, and suggests future research directions.
Fuzhen Zhuang, Zhiyuan Qi, Keyu Duan, et al.
A comprehensive survey systematizing transfer learning research, reviewing 40+ approaches and benchmarking 20+ models on three datasets.
Charith Perera, Arkady Zaslavsky, Peter Christen, et al.
Surveys context-aware computing for IoT, analyzing 50 projects (2001-2011) via a taxonomy to derive lessons and future research directions.
Tareq Rasul, Sumesh Nair, Diane Robyn Kalendra, et al.
This perspective paper examines five benefits and five challenges of using ChatGPT in higher education through the lens of constructivist learning theory, proposing responsible use guidelines.
Peng Zhang, Dingfan Zhang, Wuai Zhou, et al.
This review categorizes AI methods for traditional Chinese medicine network pharmacology into network relationship mining, target positioning, and target navigating, and highlights applications in Cold/Hot syndrome research.