Quantifying the Necessity of Chain of Thought through Opaque Serial Depth | ScienceToStartup | ScienceToStartup

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References (26)

[1]

Monitoring Monitorability

2025Melody Y. Guan, Miles Wang et al.

[2]

State over Tokens: Characterizing the Role of Reasoning Tokens

2025Mosh Levy, Zohar Elyoseph et al.

[3]

A Pragmatic Way to Measure Chain-of-Thought Monitorability

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"A method to quantify reasoning depth in LLMs, enhancing interpretability and monitoring."

NLP Research•Score: 5•View PDF ↗

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Quantifying the Necessity of Chain of Thought through Opaque Serial Depth

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References (26)

Founder's Pitch

"A method to quantify reasoning depth in LLMs, enhancing interpretability and monitoring."

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Quantifying the Necessity of Chain of Thought through Opaque Serial Depth

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References (26)

Founder's Pitch

"A method to quantify reasoning depth in LLMs, enhancing interpretability and monitoring."

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