The authors define a taxonomy for LLM-enhanced relational operators categorized into Select, Match, Impute, Cluster and Order, and release LROBench to evaluate single and multi-operator queries on semantic database processing.
Biometrika30(1-2), 81–93 (1938)
3 Pith papers cite this work. Polarity classification is still indexing.
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AICON, a gradient-descent reactive model from robotics, reproduces human difficulty orderings on the Tower of London test and outperforms planning models for impaired clinical groups while underperforming for healthy controls.
Anti-Prompt adds imperceptible perturbations to images that disrupt text-guided I2V generation by attenuating text-conditioned pathways, achieving protection on two model architectures with a new Video-LLM evaluation protocol.
citing papers explorer
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Large Language Model-Enhanced Relational Operators: Taxonomy, Benchmark, and Analysis
The authors define a taxonomy for LLM-enhanced relational operators categorized into Select, Match, Impute, Cluster and Order, and release LROBench to evaluate single and multi-operator queries on semantic database processing.
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No Plan, Yet Human: A Reactive Robotics Model Predicts Human Planning Failures on a Clinical Task
AICON, a gradient-descent reactive model from robotics, reproduces human difficulty orderings on the Tower of London test and outperforms planning models for impaired clinical groups while underperforming for healthy controls.
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Anti-Prompt: Image Protection against Text-Guided Image-to-Video Generation
Anti-Prompt adds imperceptible perturbations to images that disrupt text-guided I2V generation by attenuating text-conditioned pathways, achieving protection on two model architectures with a new Video-LLM evaluation protocol.