Paper presents 'Just Pass Twice', an efficient method for Named Entity Recognition using large language models in zero-shot settings. Focuses on optimizing token classification to reduce computational overhead while maintaining accuracy.
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Just Pass Twice: Efficient Token Classification with LLMs for Zero-Shot NER
Two-pass token classification reduces LLM computational overhead for zero-shot NER, enabling cheaper entity extraction without training data.
Wednesday, April 8, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.CL (Computation & Language)BY sys://pipeline
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