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Adaptive triggering can recover lost accuracy in LLM reasoning while cutting down on unnecessary interventions, challenging traditional fixed-interval approaches.
Forecast collapse in time-series models reveals a critical calibration-ranking tradeoff that could mislead financial decision-making.
PSRS affects up to 56% of responses in LLMs, revealing a critical vulnerability in AI alignment that can lead to harmful outcomes.
