From Atoms to Chains: Divergence-Guided Reasoning Curriculum for Unlabeled LLM Domain Adaptation | ScienceToStartup | ScienceToStartup

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References (40)

[1]

MegaScience: Pushing the Frontiers of Post-Training Datasets for Science Reasoning

2025Run-Ze Fan, Zengzhi Wang et al.

[2]

Solving Formal Math Problems by Decomposition and Iterative Reflection

2025Yichi Zhou, Jianqiu Zhao et al.

[3]

Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

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"Adapting large language models to specialized domains without labeled data using a divergence-guided reasoning curriculum."

LLM Domain Adaptation•Score: 6•View PDF ↗

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From Atoms to Chains: Divergence-Guided Reasoning Curriculum for Unlabeled LLM Domain Adaptation

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References (40)

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"Adapting large language models to specialized domains without labeled data using a divergence-guided reasoning curriculum."

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From Atoms to Chains: Divergence-Guided Reasoning Curriculum for Unlabeled LLM Domain Adaptation

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References (40)

Founder's Pitch

"Adapting large language models to specialized domains without labeled data using a divergence-guided reasoning curriculum."

Commercial Viability Breakdown

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