A list of (newer) LLMs that adhere to full transparancy and reproducibility by openly sharing their full training data and training recipes.
Thomas Renkert
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AI & ML interests
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Organizations
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Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 109 -
Self-Discover: Large Language Models Self-Compose Reasoning Structures
Paper • 2402.03620 • Published • 116 -
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences
Paper • 2404.03715 • Published • 62 -
Do language models plan ahead for future tokens?
Paper • 2404.00859 • Published • 3
A list of (newer) LLMs that adhere to full transparancy and reproducibility by openly sharing their full training data and training recipes.
-
Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 109 -
Self-Discover: Large Language Models Self-Compose Reasoning Structures
Paper • 2402.03620 • Published • 116 -
Direct Nash Optimization: Teaching Language Models to Self-Improve with General Preferences
Paper • 2404.03715 • Published • 62 -
Do language models plan ahead for future tokens?
Paper • 2404.00859 • Published • 3