The Knowledge Lifecycle of Large Language Models: a unified five-stage framework for how LLMs acquire, store, retrieve, update, and forget knowledge, with the Provenance Vector proposal and the reproducible Lifecycle Desynchronization metric.
nlp transformers kl-divergence machine-unlearning continual-learning ai-research rag gpt-2 ameythakur amey large-language-models llm knowledge-editing retrieval-augmented-generation knowledge-conflicts activation-steering agent-memory ameyarc amey-thakur knowledge-lifecycle
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Updated
Oct 4, 2026 - TeX