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@@ -23,4 +23,16 @@ Our paper (LREC-COLING 2024): [A Multimodal In-Context Tuning Approach for E-Com
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  | Avg_L #MP | 13.50 | 20.34 | 18.30 |
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  | Avg_L #Desp | 80.05 | 79.03 | 80.13 |
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- **Table 1:** The detailed statistics of MD2T. Avg_N and Avg_L represent the average number and length respectively. MP and Desp indicate the marketing keywords and description.
 
 
 
 
 
 
 
 
 
 
 
 
 
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  | Avg_L #MP | 13.50 | 20.34 | 18.30 |
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  | Avg_L #Desp | 80.05 | 79.03 | 80.13 |
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+ **Table 1:** The detailed statistics of MD2T. Avg_N and Avg_L represent the average number and length respectively. MP and Desp indicate the marketing keywords and description.
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+ # Cite our Work
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+
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+ ```
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+ @article{li2024multimodal,
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+ title={A Multimodal In-Context Tuning Approach for E-Commerce Product Description Generation},
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+ author={Li, Yunxin and Hu, Baotian and Luo, Wenhan and Ma, Lin and Ding, Yuxin and Zhang, Min},
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+ journal={arXiv preprint arXiv:2402.13587},
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+ year={2024}
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+ }
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+ ```