bayesian optimization 1natural language interfaces 1query optimization 1semantic query processing 1task DAG 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.DB2026
CADENZA: Compiling Natural-Language Intent into Task-Specific Operator DAGs for Semantic Query Processing
Jaehyun Ha, Yongjoo Park, Wook-Shin Han
CADENZA translates natural-language intents into task-specific operator DAGs, enabling a query optimizer to jointly tune quality, latency, and cost for semantic query processing.
cs.DB2026
CADENZA in Action: Breaking the Monolith with Intent-Dependent Plan Spaces for Semantic Queries
Jaehyun Ha, Yongjoo Park, Wook-Shin Han
Semantic query processing engines execute semantic operators, whose behavior is specified by natural-language intents, via model inference over multimodal data. Most existing optim…
cs.RO2026
Bring My Cup! Personalizing Vision-Language-Action Models with Visual Attentive Prompting
Sangoh Lee, Sangwoo Mo, Wook-Shin Han
While Vision-Language-Action (VLA) models generalize well to generic instructions, they struggle with personalized commands such as "bring my cup," where the robot must act on one…