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Skill Retrieval Augmentation for Agentic AI
让LLM智能体学会检索外部技能，摆脱显式枚举限制，提升复杂任务处理能力
arXiv:2604.24594v2 Announce Type: replace-cross Abstract: As large language models (LLMs) evolve into agentic problem solvers, they increasingly rely …
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STRIDE: Learnable Stepwise Language Feedback for LLM Reasoning
提出可学习的逐步语言反馈机制STRIDE，让LLM在推理过程中自动修正错误，提升复杂推理任务准确性。
arXiv:2605.18851v1 Announce Type: new Abstract: Recent advances in Reinforcement Learning (RL) have underscored its potential for incentivizing reason…
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ACIL: Auto Chain of Thoughts for In-Context Learning
提出ACIL方法，自动化链式思维推理与上下文学习结合，提升LLM多步推理能力。
arXiv:2605.17088v1 Announce Type: new Abstract: Recent advances in large language models (LLMs) have shown that Chain-of-Thought (CoT) reasoning can s…
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Building more with GPT-5.1-Codex-Max
OpenAI推出GPT-5.1-Codex-Max，更快更智能，专为大规模项目级编码任务打造，推理与token效率双提升。
Introducing GPT-5.1-Codex-Max, a faster, more intelligent agentic coding model for Codex. The model is designed for long-running, project-scale work w…