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Qualitatively characterizing neural network optimization problems
Paper • 1412.6544 • Published • 4 -
Convergent Learning: Do different neural networks learn the same representations?
Paper • 1511.07543 • Published • 2 -
Mixout: Effective Regularization to Finetune Large-scale Pretrained Language Models
Paper • 1909.11299 • Published • 1 -
Model Fusion via Optimal Transport
Paper • 1910.05653 • Published • 1
Collections
Discover the best community collections!
Collections including paper arxiv:2403.13187
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Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models
Paper • 2310.04406 • Published • 8 -
Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 104 -
ICDPO: Effectively Borrowing Alignment Capability of Others via In-context Direct Preference Optimization
Paper • 2402.09320 • Published • 6 -
Self-Discover: Large Language Models Self-Compose Reasoning Structures
Paper • 2402.03620 • Published • 114
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ShortGPT: Layers in Large Language Models are More Redundant Than You Expect
Paper • 2403.03853 • Published • 61 -
SliceGPT: Compress Large Language Models by Deleting Rows and Columns
Paper • 2401.15024 • Published • 69 -
Your Transformer is Secretly Linear
Paper • 2405.12250 • Published • 149 -
Yi: Open Foundation Models by 01.AI
Paper • 2403.04652 • Published • 62