Tag
Proposes SymCA, an interpretable column annotation framework using LLMs to materialize annotation as a global-to-local symbolic decision process, achieving significant accuracy improvements over baselines.
BRAID is a framework that formulates interleaved text-image-text reasoning as a unified Markov decision process, enabling joint optimization of textual and visual generation via reinforcement learning with a VLM judge providing dense turn-level feedback.