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Found 2 papers, 1 papers with code
Hype or Heuristic? Quantum Reinforcement Learning for Join Order Optimisation
It is able to handle general bushy join trees instead of resorting to simpler left-deep variants as compared to approaches based on quantum(-inspired) optimisation, yet requires multiple orders of magnitudes fewer qubits, which is a scarce resource even for post-NISQ systems.
Exploring In-Context Learning Capabilities of Foundation Models for Generating Knowledge Graphs from Text
Knowledge graphs can represent information about the real-world using entities and their relations in a structured and semantically rich manner and they enable a variety of downstream applications such as question-answering, recommendation systems, semantic search, and advanced analytics.
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