arXiv 2610.29784 · cs.CL · 2026-10-21
Evolving with Open Worlds: Towards Recursive Self-Improvement for Future Forecasting
Zhipeng Chen, Yunsen Liang, Yanxi Chen, Hongkang Zhao, Lingyun Feng, Ruiyang Ren, Guoxin Chen, Jia Deng 等 15 人
机构待核实
在最新榜 #363 本站收录于 2026-10-26
一句话要点
DeepEvolve 以未来事件预测为环境研究递归自我改进：智能体在持续变化、可客观验证的世界里交互，把每次预测背后的推理轨迹转化为能力。
DeepEvolve studies recursive self-improvement using future-event forecasting as a continuously changing, verifiable environment, turning the reasoning trajectory behind each prediction back into agent capability.
阅读 arXiv 原文 PDF Hugging Face 讨论 代码仓库
主题与学科
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数据说明
元数据来自 arXiv API（已核实）；点赞来自 Hugging Face 每日论文；引用来自 Semantic Scholar。最近刷新 2026-10-26。
要点由本站根据摘要自写，不转载摘要原文，请阅读原文。