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Peer-Predictive Self-Training for Language Model Reasoning

Peer-Predictive Self-Training is a collaborative, label-free fine-tuning framework where multiple language models use aggregated responses to mutually improve their reasoning capabilities.

Impact
48/100
Current rank score
24.2
Source tier
Tier 1
Category
Research
Read the full story at arxiv.org

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