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cs.DB2026
SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL
Geonho Lee, Min-Soo Kim
Large language models (LLMs) have advanced Text-to-SQL by enabling natural language interfaces to databases without task-specific fine-tuning. However, existing LLM-based systems r…
cs.DB2026
AkasicDB: Demonstrating Omni RAG with a Unified Vector-Graph-Relational DBMS
Geonho Lee, Jeongho Park, Donghyoung Han +1
Recent Retrieval-Augmented Generation (RAG) systems increasingly combine vector retrieval with structured knowledge, such as Graph RAG and Filtered vector search. However, existing…
cs.CL2026
Value-and-Structure Alignment for Routing-Consistent Quantization of Mixture-of-Experts Models
Hancheol Park, Geonho Lee, Tairen Piao +1
Mixture-of-Experts (MoE) models scale foundation models efficiently by activating only a subset of experts for each token, but their large number of expert parameters still makes q…