framework
active
framework:chain-of-thought-cotChain-of-Thought (CoT)
A prompting technique that elicits intermediate reasoning steps before final answer inference in language models.
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Papers (1)
paper
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
- Multimodal-CoTextendsA 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 edgeEntities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.
- 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.
- Chain-of-thought prompting baseline used for comparison in creative writing and other tasks