用进化策略优化数据筛选，提升AI智能体后训练效率的新范式。
arXiv:2607.06140v1 Announce Type: new Abstract: Large language model (LLM) agents require post-training methods that can improve long-horizon decision…
开源工具助你高效清洗与生成合成数据，优化大模型后训练流程。
arXiv:2606.21631v1 Announce Type: cross Abstract: Data curation is a critical part of post-training pipelines for large language models, yet existing …
自监督数据策展如何保障基础模型鲁棒性？最新研究揭示安全性与可扩展性的关键路径
arXiv:2606.09511v1 Announce Type: new Abstract: Self-supervised data curation provides a pathway to scaling and improving the generalization capabilit…
用几何熵混合优化LLM数据筛选，新方法已提交ICML 2026
arXiv:2605.26121v1 Announce Type: cross Abstract: LLM pre-training efficacy increasingly depends on data composition rather than sheer volume. Yet, op…