Sadaf Md Halim

Let The Jury Decide: Fair Demonstration Selection for In-Context Learning through Incremental Greedy Evaluation

Large Language Models (LLMs) are powerful in-context learners, achieving strong performance with just a few high-quality demonstrations. However, fairness concerns arise in many in-context classification tasks, especially when predictions involve sensitive attributes. To address this, we propose JUD…