Prompt chaining with off-the-shelf LLMs outperforms in-context learning and BERT for 1st- and 2nd-level classification on the ORKG taxonomy using the FORC dataset, but struggles at the 3rd level.
arXiv preprint arXiv:2407.07630 (2024)
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Automating Categorization of Scientific Texts with In-Context Learning and Prompt-Chaining in Large Language Models
Prompt chaining with off-the-shelf LLMs outperforms in-context learning and BERT for 1st- and 2nd-level classification on the ORKG taxonomy using the FORC dataset, but struggles at the 3rd level.