Papers by George-Kirollos Saad
Q-STRUM Debate: Query-Driven Contrastive Summarization for Recommendation Comparison (2025.findings-acl)
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| Challenge: | Existing contrastive summarization methods such as STRUM-LLM fail to clarify differences between items . emergence of large language models (LLMs) has revolutionized QCS capabilities . |
| Approach: | They propose a new method that generates focused and contrastive summaries by using debate-style prompting. |
| Outcome: | Experiments show that Q-STRUM Debate performs better than existing methods on key contrastive summarization criteria. |