ICL of GPT-3.5-turbo and GPT-4 were conducted in this study. Few-shot examples were created from the training set and the performance was evaluated on the MaterioMiner dataset. The specialized NER models fine-tuned were BERT-based with a token classification head. Different pre-trained states of BERT were fine-tuned: BERT-BASE (uncased) , SciBERT Sci-vocab (uncased) , and MatSciBERT 32 . Further, an architectural modification of BERT and a larger model, DeBERTa , was fine-tuned.