让AI代理安全查数又省钱：Dex为数据栈加上成本感知与PII防火墙，语义层查询更聪明。
Hi I’m Marco, co-founder of Exmergo. Me and my team created Dex to help Analytics Engineers do real work with Claude Code (and any other coding agent)…
去中心化LLM推理如何验证质量？新框架PoQ-Judge用多架构评估实现成本感知的质量证明。
arXiv:2606.11196v1 Announce Type: cross Abstract: Decentralized LLM inference networks need lightweight, reference-free quality evaluation for Proof o…
用强化学习优化机器翻译系统，让工具调用既精准又省钱，效果如何？arXiv最新研究给出答案。
arXiv:2606.06835v1 Announce Type: new Abstract: The performance gap across languages in LLMs is well documented, and closing it natively requires pret…
探讨大语言模型智能体是否具备预算意识，揭示成本约束下的行为影响。
arXiv:2606.00198v1 Announce Type: new Abstract: While agents are increasingly spending more resources, today agent cost is mostly measured only after …
首个将物理模拟工具成本纳入LLM评估的基准，让科学自动化更贴近现实预算约束。
arXiv:2603.20253v2 Announce Type: replace-cross Abstract: Evaluating LLM agents for scientific tasks has focused on token costs while ignoring tool-us…
LLM代理在信息获取中如何权衡成本与不确定性？新研究提出“校准-然后行动”方法，解决何时停止探索并提交答案的难题。
arXiv:2602.16699v3 Announce Type: replace Abstract: LLM agents are deployed in environments where they must interact to acquire information. In these …