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.
T. Chowdhury, Saeideh Shahrokh Esfahani
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