用MDL引导规则学习，让语言代理更会挑工具、用工具，ACL 2026长文带你秒懂核心机制。
arXiv:2601.00086v3 Announce Type: replace Abstract: Large language models (LLMs) often struggle to use tools reliably in domain-specific settings, whe…
VisualLeakBench 为视觉语言代理提供可复现的动作边界传播失败评估，帮助研究人员系统检测和修复模型漏洞。
arXiv:2606.07595v1 Announce Type: new Abstract: Vision-language agents increasingly consume screenshots, documents, and user interfaces before writing…
ICML 2026接收论文，受重整化群启发，提出进化记忆机制，显著增强语言代理的长程推理与记忆能力。
arXiv:2510.16392v3 Announce Type: replace Abstract: Personalized and continuous interactions are critical for LLM-based conversational agents, yet fin…
用语言代理实现大模型自主微调的创新框架，省去人工干预，让微调过程自动化
arXiv:2603.01712v2 Announce Type: replace-cross Abstract: Fine-tuning large language models for vertical domains remains labor-intensive, requiring pr…
最新arXiv论文提出语言代理从经验中学习的方法，为AI智能体自主进化提供新思路。
arXiv:2605.20477v1 Announce Type: new Abstract: Language agents can adapt from experience in interactive environments, but current reflection-based me…