AIBullisharXiv – CS AI · 10h ago7/10
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EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning
Researchers introduce EquivPruner, a method that reduces token consumption in LLM reasoning searches by identifying and pruning semantically equivalent steps. Combined with MathEquiv, a new dataset for mathematical equivalence detection, the approach achieves 48.1% token reduction on GSM8K while maintaining or improving accuracy.