Group Fairness Meets the Black Box: Enabling Fair Algorithms on Closed LLMs via Post-Processing

Ruicheng Xian, Yuxuan Wan, Han Zhao

Instruction fine-tuned large language models (LLMs) enable a simple zero-shot or few-shot prompting paradigm, also known as in-context learning, for building prediction models. Thi…