{
 "id": "Jiawei1222/MathEquiv",
 "owner": "Jiawei1222",
 "name": "MathEquiv",
 "downloads": 74,
 "likes": 2,
 "last_modified": "2025-05-30T06:51:24.000Z",
 "stated_licence": "apache-2.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "question-answering"
 ],
 "citation": "@article{liu2025equivpruner,\n  title={EquivPruner: Boosting Efficiency and Quality in LLM-Based Search via Action Pruning},\n  author={Jiawei Liu, Qisi Chen, Jianshu Zhang, Quan Liu, Defu Lian},\n  journal={arXiv preprint arXiv:2505.16312},\n  year={2025}\n}",
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}