用LLM智能体自动发现列间约束，让合成表格数据更真实可信，为数据增强与隐私保护提供新思路。
arXiv:2608.15109v1 Announce Type: new Abstract: Generating structurally valid synthetic tabular data remains difficult: outputs with high statistical …
一条命令启动本地 Mock 服务，自动生成逼真的假用户数据，零配置文件，前端联调从此告别手写假数据。
Article URL: https://github.com/SukhdevThukral/mockit Comments URL: https://news.ycombinator.com/item?id=49289558 Points: 2 # Comments: 0
为FHIR沙箱生成随真实时间老化的患者数据，让测试环境告别静止假数据，回归生产级真实感。
Epic's sandbox, an integration platform's dev environment, and the JSON fixtures in your repo. Pick any patient out of Open Epic's sandbox. Camila Lop…
自动生成任意 .NET 类测试数据，摆脱重复 Builder 模板，支持批量定制与索引变化，提升测试效率。
If you've ever written test data by hand, you know the ritual: a PersonBuilder , an OrderBuilder , an AddressBuilder … one hand-written builder per cl…
金融表格数据生成的约束扩散新方法，兼顾真实性与业务规则，ICAIF 2025前沿研究。
arXiv:2606.28674v1 Announce Type: new Abstract: Generative models in finance face the dual challenge of producing realistic data while satisfying stri…
为解决终端智能体训练数据稀缺而生，用可验证任务合成引擎大幅提升Agent能力测试的可靠性与覆盖面。
arXiv:2606.22883v1 Announce Type: new Abstract: While recent LLM-based terminal agents have demonstrated promising capabilities, the scarcity of high-…
用LLM生成虚拟人口模拟需求与定价，为商业分析和决策提供全新AI驱动方法。
arXiv:2606.16183v1 Announce Type: cross Abstract: We develop an LLM-powered virtual population model that simulates demand for pricing decisions, in s…
多智能体协同生成合成数据，让大模型学会调用工具，数据质量与效率双提升。
arXiv:2606.16307v1 Announce Type: new Abstract: Training tool-augmented LLM agents requires large corpora of multi-turn, tool-grounded conversational …
用知识图谱数据生成提升自然语言到Cypher查询精确度，为知识图谱问答提供新思路。
arXiv:2606.14325v1 Announce Type: cross Abstract: Property Graphs are rapidly being adopted as database frameworks for representing heterogeneous data…
揭示LLM训练中隐藏的递归模型依赖关系，助你理解现代AI系统的真实构成。
arXiv:2606.12385v1 Announce Type: new Abstract: Modern LLM training pipelines increasingly rely on other models to generate data, filter corpora, judg…
AI辅助将JSON数据自动转为RDF知识图谱，大幅降低语义网数据创作门槛
arXiv:2606.07094v1 Announce Type: cross Abstract: Scientific workflows increasingly generate structured JSON data that is easy to exchange but difficu…
提出基于对话的代码翻译数据生成方法，突破传统代码对局限，显著提升LLM跨语言代码翻译性能。
arXiv:2512.03086v2 Announce Type: replace-cross Abstract: Large language models (LLMs) have shown remarkable capabilities in code translation, yet the…
文学翻译高质量数据稀缺？新框架用多维度迭代生成参考与偏好数据，提升LLM翻译流畅性与文学效果。
arXiv:2606.05924v1 Announce Type: cross Abstract: Literary translation poses unique challenges due to the scarcity of high-quality annotated data and …
用主动学习策略精准筛选高价值偏好数据，大幅降低RLHF数据标注成本，大模型偏好对齐的新效率方案。
arXiv:2603.09692v2 Announce Type: replace Abstract: Reinforcement Learning from Human Feedback (RLHF) has become the standard for aligning Large Langu…
AI Agents专属合成数据生成利器，开源一键安装，支持多架构多平台。
Article URL: https://github.com/compuficial/apery Comments URL: https://news.ycombinator.com/item?id=48278912 Points: 2 # Comments: 1
针对医疗健康表格数据，提出编排与评估合成数据的系统化框架，填补数据隐私与可用性平衡的空白。
arXiv:2605.17758v1 Announce Type: new Abstract: Synthetic data is widely used in healthcare to create datasets that are similar to original data but w…
新论文提出CasualSynth，教你生成结构合理的合成数据，数据科学必看
arXiv:2605.17528v1 Announce Type: new Abstract: Large Language Models (LLMs) generate realistic synthetic data but offer no guarantee that their outpu…