Tag: Foundation Model
All the articles with the tag "Foundation Model".
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R&B: Domain Regrouping and Data Mixture Balancing for Efficient Foundation Model Training
R&B框架通过基于语义相似性的数据重新分组和梯度驱动的动态权重调整,以极低的计算开销(0.01%)在自然语言和多模态任务中匹配或超越现有数据混合策略,提升了基础模型训练效率。
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Contextures: Representations from Contexts
This paper introduces the contexture theory, unifying representation learning across paradigms by targeting top singular functions of a context-induced expectation operator, demonstrating high alignment in neural representations and proposing a task-agnostic metric for context evaluation with strong empirical correlation to performance on various datasets.
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Kimi-Audio Technical Report
本文提出Kimi-Audio,一个开源的音频基础模型,通过结合音频分词、LLM处理和逆分词的统一架构,以及大规模多模态训练,实现了音频理解、生成和对话的多任务SOTA性能。