Dense retrievers favor passages naming high-scoring answer objects
Across eight models, higher token-prediction scores predict higher retrieval ranks even when the relation is wrong.
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Across eight models, higher token-prediction scores predict higher retrieval ranks even when the relation is wrong.
Across four Natural Questions seeds, injections reached top-5 in 94.1% of targeted rows; e5 filtering cut exposure-conditional ASR to 0.167.
Entities are extracted by the model from each article. First seen , last mentioned . Watching keeps it in this browser only (no account); the watchlist page and dashboard alerts use it.
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