BDH-CQ: In-Context Learning with Recurrent Latent Reasoning

  • 类型：arxiv
  • 标识：2608.09888
  • 链接：https://arxiv.org/abs/2608.09888
  • 主分类：evaluation
  • 形态：method
  • 被引：0
  • 被引来源：Semantic Scholar
  • S2被引：0
  • 影响力被引：0
  • TLDR：BDH-CQ is introduced, a reasoning model that combines in-context learning with recurrent latent reasoning that solves a query through iterative computation in a high-dimensional latent space, without verbalizing its intermediate reasoning.
  • 待LLM分类：否
  • 标题中文：BDH-CQ：基于循环潜变量推理的上下文学习
  • TLDR中文：本文提出 BDH-CQ，一个结合上下文学习与循环潜在推理的推理模型，通过在高维潜在空间中的迭代计算来求解查询，且无需将中间推理外化为语言。
  • 来源文件：
  • /inbox/tom/_candidates/2026-08-11-agent-rag-longcontext-candidates.json
  • [S2 enrich]