Native Reasoning Models: Training Language Models to Reason on Unverifiable Data | ScienceToStartup | ScienceToStartup

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References (35)

[1]

Group Sequence Policy Optimization

2025Chujie Zheng, Shixuan Liu et al.

[2]

RLPR: Extrapolating RLVR to General Domains without Verifiers

2025Tianyu Yu, Bo Ji et al.

[3]

Reasoning with Exploration: An Entropy Perspective

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"NRT offers a novel framework for enhancing AI reasoning abilities without relying on costly, expert-verified data."

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Native Reasoning Models: Training Language Models to Reason on Unverifiable Data

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References (35)

Founder's Pitch

"NRT offers a novel framework for enhancing AI reasoning abilities without relying on costly, expert-verified data."

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Native Reasoning Models: Training Language Models to Reason on Unverifiable Data

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References (35)

Founder's Pitch

"NRT offers a novel framework for enhancing AI reasoning abilities without relying on costly, expert-verified data."

Commercial Viability Breakdown

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