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New research details how language models share relational representations

A new research paper explores how language models like GPT-2 Small, Qwen2.5-1.5B, and Llama-3.2-1B utilize shared relational representations to make specific choices. Experiments indicate a common low-dimensional background for these representations, which can transfer to new names. The study found that while a transferable relational representation exists, its functional sign is not always transferable, with Qwen2.5 and Llama3.2 exhibiting different sensitivities and pathway contributions. AI

IMPACT Provides insights into the internal workings of language models, potentially informing future architectural improvements.

RANK_REASON The cluster contains a single academic paper detailing research findings on language models. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

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New research details how language models share relational representations

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The cluster contains a single academic paper detailing research findings on language models. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Kaixiang Shu ·

    Shared relations, specific choices: conditional sensitivity and competing pathways in language models

    arXiv:2611.01809v1 Announce Type: new Abstract: How does a relational representation shared across queries drive a query-specific choice? Controlled entity-binding experiments with GPT-2 Small, Qwen2.5-1.5B and Llama-3.2-1B reveal a low-dimensional relational background that is p…