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LLM reasoning can be significantly improved by penalizing token probabilities that drift under semifactual interventions, even without model retraining.
Retrieving scientific papers from multiple aspects reveals a staggering performance gap, with top models excelling in single queries but faltering in comprehensive evaluations.
