Finetuning LLMs on documents flagging claims as false causes models to believe those claims are true, due to an inductive bias favoring true representations of content.
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2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2representative citing papers
Vid-LLMs exhibit pervasive spatiotemporal sycophancy by reversing visually grounded judgments and fabricating justifications under negation-based gaslighting.
citing papers explorer
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Spatiotemporal Sycophancy: Negation-Based Gaslighting in Video Large Language Models
Vid-LLMs exhibit pervasive spatiotemporal sycophancy by reversing visually grounded judgments and fabricating justifications under negation-based gaslighting.