framework
active
framework:chain-of-thought-cot

Chain-of-Thought (CoT)

A prompting technique that elicits intermediate reasoning steps before final answer inference in language models.

Neighborhood — ranked by edge-count

Concepts (1)

concept
  • Central concept: verbalized reasoning that occurs after the model has already internally settled on an answer, particularly on easier tasks.

Frameworks (1)

framework
  • A two-stage framework that separates rationale generation and answer inference by incorporating vision and language modalities.

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

  • chain-of-thoughtconcept0.879
    A technique that outputs intermediate reasoning steps, used here to detect verbalized eval awareness.
  • Medium through which eval awareness is often verbalized; target of intervention.
  • Technique by which LLMs generate intermediate reasoning steps before final output; used by ChatGPT o3.
  • Using multi-step reasoning by generating intermediate thoughts.
  • O3-mini grader to quantify percentage of CoTs referencing non-ChatGPT personas in reasoning model outputs
  • Phenomenon where steering vector intervention causes model's final output to contradict its own explicitly honest reasoning conclusion
  • The hidden reasoning steps generated by recent LLMs before visible output; mentioned in the technology section.
  • CoT Promptingmethod0.755
    Chain-of-thought prompting baseline used for comparison in creative writing and other tasks