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Title: Understanding Knowledge Hijack Mechanism in In-context Learning through Associative Memory
Head: Induction Head
Published: arxiv
Summary:
Innovation: Investigated how the model prioritizes in-context knowledge versus global knowledge when generating outputs, using both theoretical analysis and experimental evaluation.
Tasks: Analyzed two key aspects of induction heads: the impact of positional encoding on the oversight, and the contributions of in-context information and pretrained knowledge during inference.
Significant Result: Induction head learned by a transformer using RPE can avoid oversight of in-context knowledge within the framework of associative memory
The text was updated successfully, but these errors were encountered:
Title: Understanding Knowledge Hijack Mechanism in In-context Learning through Associative Memory
Head: Induction Head
Published: arxiv
Summary:
The text was updated successfully, but these errors were encountered: