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  SLIMER is an instruction-tuned LLM (LLaMA-2-7B based) for NER.
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  Instructed on a reduced number of samples, it is designed to tackle never-seen-before named entity tags by leveraging a prompt enriched with a definition and guidelines for the NE to be extracted.
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- Furthermore, SLIMER performs comparably to state-of-the-art approaches in out-of-domain zero-shot NER, while being trained on a reduced tag set.
 
 
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  <img src="https://huggingface.co/expertai/SLIMER/resolve/main/OOD_evals.png">
 
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  SLIMER is an instruction-tuned LLM (LLaMA-2-7B based) for NER.
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  Instructed on a reduced number of samples, it is designed to tackle never-seen-before named entity tags by leveraging a prompt enriched with a definition and guidelines for the NE to be extracted.
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+ <img src="https://huggingface.co/expertai/SLIMER/resolve/main/SLIMER_instruction_prompt.png">
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+ SLIMER performs comparably to state-of-the-art approaches in out-of-domain zero-shot NER, while being trained on a reduced tag set.
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  <img src="https://huggingface.co/expertai/SLIMER/resolve/main/OOD_evals.png">