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Hessian-Enhanced Token Attribution (HETA): Interpreting Autoregressive LLMs
Understanding which input tokens influence a language model’s predictions through second-order attribution.

The research question
Which input tokens shape an autoregressive model’s prediction?
Research summary
HETA uses Hessian-enhanced attribution to examine token-level influence. The work connects model-internal analysis with explanations of autoregressive language-model predictions.
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