面向数据湖的结构化搜索新框架，为深度研究提供高效精准的信息定位方案
arXiv:2607.27726v1 Announce Type: cross Abstract: Deep research over data lakes requires an LLM agent to investigate evidence across thousands of hete…
对海量数据湖上的问答代理瓶颈进行系统梳理，揭示大规模场景下QA Agent的关键设计要素。
arXiv:2606.13904v1 Announce Type: cross Abstract: Exploratory question answering (EQA) over data lakes requires an LLM agent to discover relevant sour…
百万级数据湖上的探索性问答基准，解锁大模型在异构数据源中的检索与推理能力。
arXiv:2606.10460v1 Announce Type: cross Abstract: Recent large language models (LLMs) have shown rapid progress in reading-based question answering (Q…
arXiv 是获取最新学术论文的宝库，这篇聚焦数据湖智能体的数据驱动优化，免费开放获取
arXiv:2606.01185v1 Announce Type: new Abstract: Coding agents are becoming users of data infrastructure, but their success depends not only on model q…
直接流式Postgres到Iceberg，无需ETL和Spark，S3数据湖查询性能大幅提升。
Article URL: https://github.com/viggy28/streambed Comments URL: https://news.ycombinator.com/item?id=48348429 Points: 10 # Comments: 0