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Salience Bias in LLMs reveals that models often ignore commonsense reasoning in favor of misleading explicit cues, with lightweight prompting showing promise in addressing this issue.
Evolving interpretable composite features via Genetic Programming beats black-box deep learning at music tagging, revealing synergistic interactions and transformations that boost performance.
