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Found 2 papers, 1 papers with code
RankPrompt: Step-by-Step Comparisons Make Language Models Better Reasoners
Our experiments across 11 arithmetic and commonsense reasoning tasks show that RankPrompt significantly enhances the reasoning performance of ChatGPT and GPT-4, with improvements of up to 13%.
Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation
The second step involves preserving dataset diversity through a clustering process. In our experiment, CaR selected a subset containing only 1. 96% of Alpaca's IT data, yet the underlying AlpaCaR model trained on this subset outperforms Alpaca by an average of 32. 1% in GPT-4 evaluations.
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