PlanRAG models exploratory reasoning problems as logical query trees, uses dynamic programming with a cost model to build them, and executes iterative retrieval-generation over the trees, outperforming prior RAG methods on the new WikiWeb-ERP dataset.
Learned Query Optimizer: What is New and What is Next
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SOLANET is a distributed GPU toolkit for neighbor graph construction that reports 11X speedup on 512 APUs for 1B points and 6.9X for 2B points.
Proposes Governed Evolving Memory (GEM) as a state-trajectory workload for long-term AI agent memory using four operators and six correctness conditions that record-level systems cannot satisfy.
RELOAD achieves up to 2.4x higher robustness and 3.1x greater efficiency than prior RL-based query optimizers on Join Order Benchmark, TPC-DS, and Star Schema Benchmark.
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