AI RESEARCH
Demonstration of Pneuma-Seeker: Agentic System for Reifying and Fulfilling Information Needs on Tabular Data
arXiv CS.AI
•
ArXi:2604.14422v1 Announce Type: new Data analysts working with relational data often start with vague or underspecified questions and refine them iteratively as they explore the data. To this iterative process, we nstrate Pneuma-Seeker, a system that reifies a user's information need as explicit, inspectable relational specifications, enabling iterative refinement of the information need, targeted data discovery, and provenance-aware execution.