T. Chowdhury

Pairwise Ranking Outperforms Single-Action RL for Offline Explanation Selection: A Practical Lesson

This work separates generation from selection: explanations are produced ahead of time as a frozen candidate pool (six prompt styles, two commodity LLMs), and a small CPU-resident selector picks one at request time, which needs no GPU and returns in under 100 ms.