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Amplitude-Ensemble Quantum-Inspired Tabu Search Algorithm for Solving 0/1 Knapsack Problems
Even as the problem complexity increases, the quality of the solutions found by our method remains superior to that of the QTS.
Toward Transparent Sequence Models with Model-Based Tree Markov Model
In this study, we address the interpretability issue in complex, black-box Machine Learning models applied to sequence data.
Conceptual structure coheres in human cognition but not in large language models
Neural network models of language have long been used as a tool for developing hypotheses about conceptual representation in the mind and brain.
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