Reasoning Theater: Disentangling Model Beliefs from Chain-of-Thought | ScienceToStartup | ScienceToStartup

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References (41)

[1]

A Positive Case for Faithfulness: LLM Self-Explanations Help Predict Model Behavior

2026Harry Mayne, J. Kang et al.

[2]

Are language models aware of the road not taken? Token-level uncertainty and hidden state dynamics

2025Amir Zur, Atticus Geiger et al.

[3]

Thought Branches: Interpreting LLM Reasoning Requires Resampling

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"Improve efficiency of reasoning models by using attention probing to detect performative reasoning."

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Reasoning Theater: Disentangling Model Beliefs from Chain-of-Thought

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References (41)

Founder's Pitch

"Improve efficiency of reasoning models by using attention probing to detect performative reasoning."

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Reasoning Theater: Disentangling Model Beliefs from Chain-of-Thought

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References (41)

Founder's Pitch

"Improve efficiency of reasoning models by using attention probing to detect performative reasoning."

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