... using large language models (TDA-LLM) systematically orchestrates large language models (LLMs) as controllable augmentation agents across three stages: source-domain annotation refinement to reduce label ambiguity, target-domain pseudo-data generation to bridge domain gaps and prediction post-processing...

...Songlin Bao; Tiantian Li; Bin Cao Purpose In the era of big data, various industries are generating large amounts of text data every day. Simplifying and summarizing these data can effectively serve users and improve efficiency. Recently, zero-shot prompting in large language models (LLMs) has...