[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
[TPAMI] The official implementation of our paper "Improved and Accelerated Text-to-Image Generation with Collect, Reflect, and Refine".
Co-Supervised Learning: Improving Weak-to-Strong Generalization with Hierarchical Mixture of Experts
[VLDB'25] Official repo for Paper "Weak-to-Strong Prompts with Lightweight-to-Powerful LLMs for High-Accuracy, Low-Cost, and Explainable Data Transformation"
Experiments for the Neural Interactive Proofs paper
🔥🔥🔥 This repository curates research on Weak-to-Strong Generalization across LLMs, multimodal learning, and beyond, focusing on how strong models learn from weak supervision and surpass their teachers. Stay tuned for the latest updates!
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