Rafal Kocielnik
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126
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NLP×1AI×1ML×1Stats ML×1
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2026
On the Limits of LLM Adaptability: Impact of Model-Internalized Priors on Annotation Task Performance
The paper demonstrates that LLM performance in zero-shot annotation is significantly limited by the alignment between the model's internal understanding and the task definition, showing that prompt-based correction is largely ineffective.
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