COSMOS: Predictable and Cost-Effective Adaptation of LLMs
Paper • 2505.01449 • Published • 4
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upvoted a paper 1 day ago
COSMOS: Predictable and Cost-Effective Adaptation of LLMs upvoted a paper 1 day ago
Less is More: Improving LLM Alignment via Preference Data SelectionOrganizations
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papers 1 day ago
SmallToLarge (S2L): Scalable Data Selection for Fine-tuning Large Language Models by Summarizing Training Trajectories of Small Models
Paper • 2403.07384 • Published • 3
Less is More: Improving LLM Alignment via Preference Data Selection
Paper • 2502.14560 • Published • 1
What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning
Paper • 2312.15685 • Published • 17
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upvoted a changelog 4 days ago
Hugging Face Changelog
Storage Buckets for Spaces
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papers 10 days ago
A Neuroscience-Inspired Dual-Process Model of Compositional Generalization
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When Less Language is More: Language-Reasoning Disentanglement Makes LLMs Better Multilingual Reasoners
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Are formal and functional linguistic mechanisms dissociated in language models?
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upvoted 2
papers 11 days ago