Papers with KEGT

1 papers
Token Knowledge: A New Perspective For Knowledge in Large Language Models (2025.findings-emnlp)

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Challenge: Predicting the presence and absence of certain knowledge in large language models could aid hallucination avoidance.
Approach: They propose a token knowledge dataset construction method and use the intermediate states during inference to train probes.
Outcome: The proposed method increases the model's latent potential by 60% to 90% with strong out-of-distribution generalization by training on just a few dozen prompts.

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