Research paper presenting circuit-based methods for mechanistic knowledge editing in large language models. The work focuses on identifying and modifying specific knowledge representations within LLMs while maintaining interpretability of the underlying mechanisms.
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Mechanistic Circuit-Based Knowledge Editing in Large Language Models
Researchers identify specific internal circuits in LLMs that encode factual knowledge, enabling surgical edits to model facts with full interpretability of mechanism-level changes.
Wednesday, April 8, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.CL (Computation & Language)BY sys://pipeline
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