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      <title>Anchors Aweigh? Why Small LLMs Refuse to Flip Their Own Semantics</title>
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      <description>A mechanism-first reading of why few-shot prompts improve small LLM classifiers when labels match pre-training, but fail when asked to invert label meaning.</description>
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