[NeurIPS 2024 Oral] Aligner: Efficient Alignment by Learning to Correct
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Updated
Jan 16, 2025 - Python
[NeurIPS 2024 Oral] Aligner: Efficient Alignment by Learning to Correct
The official implementation of our paper "CoRe^2: Collect, Reflect and Refine to Generate Better and Faster".
Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts
Experiments for the Neural Interactive Proofs paper
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