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Using group theory to explore the space of positional encodings for attention

Attention is a computational primitive at the core of modern language models, allowing internal representations to reference and influence each other. It’s how these models handle sequential data in…

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2mo ago

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Study Reveals Convergent Evolution in How Language Models Learn Number Representations

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Global workspace theory applied to large language model interpretability

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Global workspace theory applied to large language model interpretability

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Attention Matching: Fast KV Cache Compaction for Language Models

Scaling language models to long contexts is often bottlenecked by the size of the key-value (KV) cache. In deployed settings, long contexts

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Mapping the neuronal building blocks of human language with language models - Nature

A study published in Nature identifies distinct neuronal populations in the frontotemporal cortex that capture both syntactic and semantic p

go.nature.com·5d ago

Nature research paper: Mapping the neuronal building blocks of human language with language models

Nature research paper: Mapping the neuronal building blocks of human language with language models

go.nature.com·18d ago

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