Selective Memory Retention for Long-Horizon LLM Agents
ICML 2026收录,揭秘LLM智能体如何在长期任务中精选记忆、提升性能。
arXiv:2606.29178v1 Announce Type: cross Abstract: When does retention matter for memory-augmented LLM agents? We study this with TraceRetain, a lightw…
ICML 2026收录,揭秘LLM智能体如何在长期任务中精选记忆、提升性能。
arXiv:2606.29178v1 Announce Type: cross Abstract: When does retention matter for memory-augmented LLM agents? We study this with TraceRetain, a lightw…
论文提出一种可验证的反伪造防火墙,让LLM代理在无人监督时无法虚报成功,将诚实作为自主任务的首要度量。
arXiv:2606.11688v1 Announce Type: cross Abstract: Long-horizon LLM agents are not trusted to run unattended: with no human watching, they confidently …
开源CLI智能体,让任意模型都能跑长期AI目标和后台任务,通用性拉满
Hi HN, I've been working on an open-source CLI agent called Interbase: https://github.com/agentsorchestrationcompany/interbase Two ideas motivated a l…
手把手教你从零创建具备长任务规划能力的AI Agent,简单实用。
Article URL: https://www.ruxu.dev/articles/ai/build-an-ai-agent-planning/ Comments URL: https://news.ycombinator.com/item?id=48444433 Points: 1 # Comm…
最新基准测试揭示大模型在长期软件安全任务中的真实表现
arXiv:2605.26548v1 Announce Type: cross Abstract: Large language models (LLMs) now support automated software security tasks, including vulnerability …