JPT enables bidirectional token classification in causal LLMs for zero-shot NER via input concatenation plus definition-guided embeddings, delivering +7.9 F1 gains and over 20x speedup on benchmarks.
For quality validation, Claude Opus 4.5 assesses random samples across entity type appropriateness, definition actionability, and extraction accuracy
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Just Pass Twice: Efficient Token Classification with LLMs for Zero-Shot NER
JPT enables bidirectional token classification in causal LLMs for zero-shot NER via input concatenation plus definition-guided embeddings, delivering +7.9 F1 gains and over 20x speedup on benchmarks.