Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights | ScienceToStartup | ScienceToStartup

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References (49)

[1]

Learning to Reason in 13 Parameters

2026John X. Morris, Niloofar Mireshghallah et al.

[2]

The Blessing of Dimensionality in LLM Fine-tuning: A Variance-Curvature Perspective

2026Qiyao Liang, Jinyeop Song et al.

[3]

MATH-Beyond: A Benchmark for RL to Expand Beyond the Base Model

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"A novel method for discovering task-specific experts in pretrained models through structured optimization."

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Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights

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Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights

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