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Google & TAU Explore How Transformer-Based LLMs Extract Knowledge From Their Parameters
Synced syncedreview.com
In the new paper Dissecting Recall of Factual Associations in Auto-Regressive Language Models, a team from Google DeepMind, Tel Aviv University and Google Research investigates how factual associations are stored and extracted internally in transformer-based language models and provides insights on how such models’ factual predictions are formed.
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