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
Insights From the NeurIPS 2021 NetHack Challenge
Eric Hambro, Sharada Mohanty, Dmitrii Babaev, Minwoo Byeon, Dipam Chakraborty, Edward Grefenstette, Minqi Jiang, Daejin Jo, Anssi Kanervisto, Jongmin Kim, Sungwoong Kim, Robert Kirk, Vitaly Kurin, Heinrich Küttler, Taehwon Kwon, Donghoon Lee, Vegard Mella, Nantas Nardelli, Ivan Nazarov, Nikita Ovsov, Jack Parker-Holder, Roberta Raileanu, Karolis Ramanauskas, Tim Rocktäschel, Danielle Rothermel, Mikayel Samvelyan, Dmitry Sorokin, Maciej Sypetkowski, Michał Sypetkowski
Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directions
Jing Gu, Eliana Stefani, Qi Wu, Jesse Thomason, Xin Eric Wang