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News/Representation Interventions Enable Lifelong Knowledge Memory Control in LLMs
arxiv
PublishedJune 25, 2026 at 4:00 AM
▲bullish

Representation Interventions Enable Lifelong Knowledge Memory Control in LLMs

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Read on arxiv→
Publisher summary· verbatim

arXiv:2511.20892v4 Announce Type: replace Abstract: Large language models (LLMs) often produce incorrect or outdated content after being employed. Efficient and accurate knowledge updates without costly retraining are a major challenge. This problem is particularly challenging in lifelong settings,

Models mentioned
01
  • 01meta-llama logo
    Llama
    meta-llama/Llama
Related
01
  • arxivApr 1
    The Last Fingerprint: How Markdown Training Shapes LLM Prose
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Mentioned models
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    Llama
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  • 02
    Qwen
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Tags
03
#lifelong-learning#knowledge-control#language-models

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Mentioned models
02
  • 01
    Llama
    meta-llama/Llama
  • 02
    Qwen
Source
↗
arxiv
Read original ↗All from arxiv →
Tags
03
#lifelong-learning#knowledge-control#language-models

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