2 papers
cs.CL2026
DataKernelBench: Can LLMs Optimize Database Queries on GPUs?
Gokul Karthik Kumar, Yotam Perlitz, Corey Lammie +2
GPUs increasingly accelerate database systems, but query-specific peak performance still often relies on hand-written kernels. Existing LLM kernel benchmarks focus on machine learn…
cs.DB2026
Amalgam: Hybrid LLM-PGM Synthesis Algorithm for Accuracy and Realism
Antheas Kapenekakis, Bent Thomsen, Katja Hose +1
To generate synthetic datasets, e.g., in domains such as healthcare, the literature proposes approaches of two main types: Probabilistic Graphical Models (PGMs) and Deep Learning m…