Kaiqiang Song (宋凯强) is a Senior Research Scientist of Natural Language Processing at Tencent AI Lab, Seattle. His research interests center on advancing artificial intelligence (AI) through fundamental research in machine learning (ML), natural language processing (NLP), and large language models (LLM). Specifically, he’s driven to create AI systems that not only push the boundaries of model architectures, training, and inference methods but also have practical applications, such as text summarization and text generation.

He’s passionate about optimizing model architectures and training strategies to enhance AI performance. Moreover, he’s dedicated to harnessing the creative potential of AI for applications like automated content summarization and personalized text generation. His goal is to contribute to both the theoretical underpinnings of AI and its tangible, real-world impact.

In summary, his research pursuits revolve around the synergy of foundational AI research and its practical applications, with a strong focus on innovation in ML, NLP, LLM, and their role in revolutionizing information processing and content generation.