大模型能预判推理失败，却难选协作协议？这篇论文提出成本感知路由，高效平衡推理性能与开销。
arXiv:2608.14927v1 Announce Type: new Abstract: Multi-agent large language model (LLM) systems can improve reasoning by spending more computation, but…
扩散LLM自由排序承诺反而成推理软肋，揭秘答案先行的失败机制
arXiv:2608.05687v1 Announce Type: cross Abstract: Masked diffusion language models (dLLMs) can commit tokens in any order -- a freedom marketed as the…
用细粒度替代熵突破轨迹奖励瓶颈，为可验证推理任务打造更精准的信用分配新方案。
arXiv:2607.03126v1 Announce Type: cross Abstract: Reinforcement Learning (RL) has substantially improved the reasoning ability of large language model…
短程序能解的任务未必能教成思维链，这篇论文用九类推理测试揭示了可验证搜索与可学习过程的本质差异。
arXiv:2606.21884v1 Announce Type: cross Abstract: It is tempting to assume any task solvable by a short program can be taught to a model as its chain-…
开源模型DeepSeek的API完整指南，涵盖设置、定价与最佳实践，助你低成本获得顶级推理能力。
DeepSeek API Complete Guide: Setup, Pricing, and Best Practices Why DeepSeek API is Gaining Traction Among DevelopersIf you've been following the AI l…