Papers with peer teaching

1 papers
Learning from Diverse Reasoning Paths with Routing and Collaboration (2025.emnlp-main)

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Challenge: Recent studies suggest that the reasoning abilities of large language models (LLMs) grows with model size and pre-training data.
Approach: They propose to combine quality filtering, conditional routing, and cooperative peer teaching to transfer knowledge from powerful teacher models to compact and transparent students.
Outcome: Experiments show that QR-Distill is superior to traditional methods.

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