Artificial Intelligence Research
Artificial intelligence (AI) research aims to create intelligent agents capable of complex tasks, currently focusing on improving reasoning, planning, and multimodal capabilities. This involves developing and refining model architectures like Large Language Models (LLMs) and Large Reasoning Models (LRMs), often employing techniques such as instruction tuning and reinforcement learning. The field's significance lies in its potential to revolutionize various sectors, from healthcare and gaming to autonomous systems and scientific discovery, while simultaneously raising crucial ethical and societal considerations regarding safety, fairness, and reproducibility.
Papers
A Taxonomy of Collectible Card Games from a Game-Playing AI Perspective
Ronaldo e Silva Vieira, Anderson Rocha Tavares, Luiz Chaimowicz
O1 Replication Journey: A Strategic Progress Report -- Part 1
Yiwei Qin, Xuefeng Li, Haoyang Zou, Yixiu Liu, Shijie Xia, Zhen Huang, Yixin Ye, Weizhe Yuan, Hector Liu, Yuanzhi Li, Pengfei Liu