{
 "id": "zjunlp/PredictBeforeExecute",
 "owner": "zjunlp",
 "name": "PredictBeforeExecute",
 "downloads": 14583,
 "likes": 1,
 "last_modified": "2026-07-28T03:24:46.000Z",
 "stated_licence": null,
 "stated_from": "none",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [],
 "citation": "If you find our corpus helpful, please consider citing our papers \ud83d\udcdd and staring us \u2b50\ufe0f\uff01\n\n```bib\n@inproceedings{zheng-etal-2026-predict,\n    title = \"Can We Predict Before Executing Machine Learning Agents?\",\n    author = \"Zheng, Jingsheng  and\n      Zhang, Jintian  and\n      Luo, Yujie  and\n      Mao, Yuren  and\n      Gao, Yunjun  and\n      Du, Lun  and\n      Chen, Huajun  and\n      Zhang, Ningyu\",\n    editor = \"Liakata, Maria  and\n      Moreira, Viviane P.  and\n      Zhang, Jiajun  and\n      Jurgens, David\",\n    booktitle = \"Proceedings of the 64th Annual Meeting of the {A}ssociation for {C}omputational {L}inguistics (Volume 1: Long Papers)\",\n    month = jul,\n    year = \"2026\",\n    address = \"San Diego, California, United States\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2026.acl-long.182/\",\n    doi = \"10.18653/v1/2026.acl-long.182\",\n    pages = \"3941--3974\",\n    ISBN = \"979-8-89176-390-6\",\n    abstract = \"Autonomous machine learning agents have revolutionized scientific discovery, yet they remain constrained by a Generate-Execute-Feedback paradigm. Previous approaches suffers from a severe Execution Bottleneck, as hypothesis evaluation relies strictly on expensive physical execution. To bypass these physical constraints, we internalize execution priors to substitute costly runtime checks with instantaneous predictive reasoning, drawing inspiration from World Models. In this work, we formalize the task of Data-centric So",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata."
}