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EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning
用动作剪枝替代参数剪枝，LLM搜索不再“又慢又贵”，效率质量双赢的ACL 2026研究。
arXiv:2505.16312v2 Announce Type: replace Abstract: Large Language Models (LLMs) excel at complex reasoning through search algorithms, yet current str…