70 citations · 111 across the 13 of their papers we have counts for
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cs.DB2026
Demonstrating GenDB: Instance-Optimized and Customized Query Processing Code Generation via LLM Agents
Jiale Lao, Immanuel Trummer
Traditional query processing engines require continuous development and extensions to support new techniques and user requirements, and in some cases, entirely new systems must be…
cs.DB2026
Breaking Database Lock-in: Agentic Regeneration of High Performance Storage Readers for Database Bypass
Victor Giannakouris, Immanuel Trummer
Analytical workloads operating on data stored in external database systems face a fundamental bottleneck: data access is guarded entirely by the database driver, like JDBC or ODBC,…
cs.DB2026
GenDB: The Next Generation of Query Processing -- Synthesized, Not Engineered
Jiale Lao, Immanuel Trummer
Traditional query processing relies on engines that are carefully optimized and engineered by many experts. However, new techniques and user requirements evolve rapidly, and existi…