Learning from Synthetic Data Improves Multi-hop Reasoning | ScienceToStartup | ScienceToStartup

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References (80)

[1]

Physics of Language Models: Part 4.1, Architecture Design and the Magic of Canon Layers

2025Zeyuan Allen-Zhu

[2]

SkillFactory: Self-Distillation For Learning Cognitive Behaviors

2025Zayne Sprague, Jack Lu et al.

[3]

SynthWorlds: Controlled Parallel Worlds for Disentangling Reasoning and Knowledge in Language Models

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"Unlock the power of synthetic data to enhance multi-hop reasoning in language models efficiently and cost-effectively."

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Learning from Synthetic Data Improves Multi-hop Reasoning

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References (80)

Founder's Pitch

"Unlock the power of synthetic data to enhance multi-hop reasoning in language models efficiently and cost-effectively."

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Learning from Synthetic Data Improves Multi-hop Reasoning

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References (80)

Founder's Pitch

"Unlock the power of synthetic data to enhance multi-hop reasoning in language models efficiently and cost-effectively."

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