Latent reasoning

Technique · Architecture & Efficiency · 3 items since Jun 2026

Models reason in hidden states rather than writing out every step as text.

Items

  1. Oct 9

    LLoCoT replaces chain-of-thought with latent loops

    A looped latent-reasoning framework replaces left-to-right chain-of-thought with iterative refinement of a fixed latent workspace, matching reasoning-SFT accuracy on code benchmarks while cutting time-to-first-answer-token ~36x and reasoning-phase latency ~42x.

  2. Jun 11

    Switch makes latent reasoning RL-trainable

    A pair of explicit boundary tokens makes hidden-state-recurrence latent chain-of-thought trainable with standard GRPO and open to mechanistic probing, reaching 79.3% on MATH-500 and showing the latent step does causally necessary computation.

  3. Jun 3

    ALAR escalates from latent to explicit reasoning

    Adaptive Latent Agentic Reasoning defaults to compact latent reasoning on routine agent turns and escalates to explicit chain-of-thought only for harder decisions, preserving accuracy while cutting generated tokens by up to 43.6% on agentic search and 84.6% on tool use.