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concept:reasoning-modelsReasoning Models
Class of large language models designed to produce extended chain-of-thought before answering, studied in this paper
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- Probability of data under the model, penalizing complexity and rewarding accuracy.
- Primary substrate for manifold steering experiments; demonstrates method on reasoning and in-context tasks.
- A representation that captures relevant aspects of a system; according to the theorem, the regulator must embody this.
- Primary test domain for manifold steering, including reasoning and ICL tasks
- Agent's internal probabilistic model of environment; enables belief inference about hidden states given outcomes.
- Norman's design model vs user model; a mental conception of how a system works.
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- Second model system studied; used to show why flat autoregressive LLMs struggle with long-range coherence.