5000万美元融资，用“数字世界”模拟超长运转压力，专测AI代理可靠性。
Agent testing startup Patronus AI, founded by former Meta AI researchers, is experienced nearly insatiable demand, its investor says.
系统性压力测试大模型在微调与篡改下的安全性，为LLM红队评估提供新基准。
arXiv:2602.06911v2 Announce Type: replace-cross Abstract: As increasingly capable open-weight large language models (LLMs) are deployed, improving the…
提出固定预算与集群感知标准，公平测试LLM作为裁判的可靠性，多跳RAG压力测试新方法。
Article URL: https://www.alphaxiv.org/abs/2605.27789 Comments URL: https://news.ycombinator.com/item?id=48322235 Points: 2 # Comments: 0
用压力测试方法系统揭示LLM记忆系统的关键失效模式，为改进大模型记忆能力提供实证依据。
arXiv:2605.26667v1 Announce Type: new Abstract: Large language model (LLM) agents increasingly rely on external memory systems to remain consistent ac…
六大模型压力测试揭示AI安全护栏在持续追问下会失效，值得关注
This is a submission for the Google I/O Writing Challenge This is a submission for the Google I/O Writing Challenge We treat AI safety as a static sta…
多模型协同编辑古典中文论文，一场探索AI处理复杂文本能力的压力测试。
Article URL: https://zenodo.org/records/20343571 Comments URL: https://news.ycombinator.com/item?id=48235251 Points: 1 # Comments: 0
多轮对话评估揭示AI在动物福利对齐上的隐蔽失败，压力下模型会背离初始立场。
arXiv:2605.16301v1 Announce Type: cross Abstract: Single-turn benchmarks such as AnimalHarmBench (AHB) have established important baselines for measur…