Papers with NA
Revealing the Parametric Knowledge of Language Models: A Unified Framework for Attribution Methods (2024.acl-long)
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| Challenge: | Language Models acquire parametric knowledge from their training process, embedding it within their weights. |
| Approach: | They propose a new evaluation framework to quantify and compare the knowledge revealed by Instance Attribution and Neuron Attributions. |
| Outcome: | The proposed evaluation framework compares the knowledge revealed by IA and NA with that of neuron attribution methods. |