InstructPTS: Instruction-Tuning LLMs for Product Title Summarization (2023.emnlp-industry)
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| Challenge: | E-commerce product catalogs contain billions of items with lengthy titles . this leads to a gap between how customers refer to these unnatural titles - and how they are used . |
| Approach: | They propose a novel approach to product title summarization that uses a fine-tuned instruction strategy to train a highly accurate model. |
| Outcome: | The proposed approach can generate more accurate product title summaries with an improvement of over 14 and 8 BLEU and ROUGE points. |
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