大模型推理不只看长度，新指标“深度思考令牌”精准衡量思考质量，刷新评估范式
arXiv:2602.13517v2 Announce Type: replace Abstract: Large language models (LLMs) have demonstrated impressive reasoning capabilities by scaling test-t…
区分上下文工程与记忆工程，掌握智能体AI推理与记忆的关键差异，提升系统设计能力。
Article URL: https://machinelearningmastery.com/context-vs-memory-engineering-in-agentic-ai-systems/ Comments URL: https://news.ycombinator.com/item?i…
基于早期token置信度，预测多智能体LLM辩论的推理质量，为高效协调提供新思路。
arXiv:2606.10307v1 Announce Type: new Abstract: Evaluating reasoning quality in multi-agent LLM systems is challenging, especially for open-ended task…
LLM推理时缩放的新方法：双维度一致性，有效平衡采样预算与推理质量，提升效率。
arXiv:2605.15100v1 Announce Type: new Abstract: Large Language Models (LLMs) have demonstrated remarkable abilities in reasoning. However, maximizing …