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LLMs' concept geometry dictated by context, not pre-training, study finds

A new research paper titled "Context Is King: How In-Context Specification Shapes the Geometry of Concepts" explores how large language models represent structured concepts. The study demonstrates that the in-context specification provided to a model can override its pre-trained knowledge, dictating the geometric structure of concepts like cycles or trees, even with arbitrary tokens. This effect is more pronounced in larger models, such as Gemma-31B and Qwen-27B, where activation patching confirms the causal use of this imposed geometry. AI

IMPACT Suggests that LLM behavior is more malleable via prompting than previously understood, impacting prompt engineering and model interpretability.

RANK_REASON Academic paper detailing novel findings about LLM behavior.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

LLMs' concept geometry dictated by context, not pre-training, study finds

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Academic paper detailing novel findings about LLM behavior.
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COVERAGE [2]

  1. arXiv cs.LG TIER_1 English(EN) · Elad David, Max Fomin ·

    Context Is King: How In-Context Specification Shapes the Geometry of Concepts

    arXiv:2607.24425v1 Announce Type: new Abstract: Large language models place structured concepts on geometrically faithful manifolds: weekdays lie on a circle, months on another, usually taken to be a fixed world-model the network stores and looks up. We show that context is king:…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    Context Is King: How In-Context Specification Shapes the Geometry of Concepts

    Large language models place structured concepts on geometrically faithful manifolds: weekdays lie on a circle, months on another, usually taken to be a fixed world-model the network stores and looks up. We show that context is king: the structure a model actually uses is set by t…