Knowledge Representation & Reasoning
Our vision is to investigate, innovate, propose, and build symbiotic systems that mutually exploit language models (LM) and knowledge graphs (KG) in a continuous and (semi-) automated learning paradigm to address current challenges.
Data AI Symbiosis
Our work in the data-management-for-AI area focuses on knowledge grounding and contextualization for knowledge-guided generation, fact-checking and verification, data lake usability, and benchmarking multi-agent systems for enterprise applications, among others.
