Nannan Huang

Less Is More? Examining Fairness in Pruned Large Language Models for Summarising Opinions

Model compression through post-training pruning offers a way to reduce model size and computational requirements without significantly impacting model performance. However, the effect of pruning on the fairness of LLM-generated summaries remains unexplored, particularly for opinion summarisation whe