자연어 기반 멀티모달 지능 연구실

Advancing the capabilities of (Multimodal) Large Language Models: We're pushing the boundaries of what large language models and multimodal models can do, making them fundamentally more capable and versatile. Furthermore, we are interested in building the next generation of intelligence that can fuel AI-driven scientific discovery and open-ended research. Connecting (M)LLMs to real-world data: We are working on seamlessly augmenting the knowledge base of these models to integrate and learn from diverse real-world data, including graphs, time-series, and tables.