提出Agentic CLEAR框架，自动化评估LLM Agents多层次能力，提升评估效率与客观性。
arXiv:2605.22608v1 Announce Type: new Abstract: Agentic systems are becoming more capable: agents define strategies, take actions, and interact with d…
ACL 2026最新研究揭示LLM Agent在权力不对称对话中是否复现社会认知偏差，探索AI对话的公平性边界。
arXiv:2605.17694v1 Announce Type: new Abstract: Power differences shape human communication through well documented socio cognitive effects, including…
提出LLM智能体如何打破平台壁垒，重塑开放互联网生态。
arXiv:2506.23978v3 Announce Type: replace Abstract: While the Internet's core infrastructure was designed to be open and universal, today's applicatio…
Redis作者分享LLM agents中EDIT工具的替代方案，实用技巧提升代码生成效率。
Article URL: https://antirez.com/news/166 Comments URL: https://news.ycombinator.com/item?id=48190359 Points: 5 # Comments: 1
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 …
用因果干预方法优化LLM代理长期记忆选择，告别语义相似度检索的局限性
arXiv:2605.17641v1 Announce Type: cross Abstract: Long-horizon LLM agents rely on persistent memory to support interactions across sessions, yet exist…
揭示LLM代理因记忆摘要隐藏毒性上下文的安全漏洞，记忆污染研究新发现
arXiv:2605.16746v1 Announce Type: cross Abstract: LLM agents increasingly rely on persistent state, including transcripts, summaries, retrieved contex…
首个专家策划的动态基准，专用于评估加密货币领域LLM Agent表现。
arXiv:2512.00417v5 Announce Type: replace Abstract: This paper introduces CryptoBench, the first expert-curated, dynamic benchmark designed to rigorou…