Mirroring the Mind: Distilling Human-Like Metacognitive Strategies into Large Language Models | ScienceToStartup | ScienceToStartup

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References (37)

[1]

The Art of Scaling Test-Time Compute for Large Language Models

2025Aradhye Agarwal, Ayan Sengupta et al.

[2]

DLER: Doing Length pEnalty Right - Incentivizing More Intelligence per Token via Reinforcement Learning

2025Shih-Yang Liu, Xin Dong et al.

[3]

A Survey of Reinforcement Learning for Large Reasoning Models

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"Metacognitive Behavioral Tuning enhances reasoning stability in language models for complex tasks."

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Mirroring the Mind: Distilling Human-Like Metacognitive Strategies into Large Language Models

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References (37)

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"Metacognitive Behavioral Tuning enhances reasoning stability in language models for complex tasks."

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Mirroring the Mind: Distilling Human-Like Metacognitive Strategies into Large Language Models

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References (37)

Founder's Pitch

"Metacognitive Behavioral Tuning enhances reasoning stability in language models for complex tasks."

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