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20232026
most citedMMICT: Boosting Multi-Modal Fine-Tuning with In-Context Examples

1 citations · 1 across the 8 of their papers we have counts for

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cs.AI2023★ 1 cited

MMICT: Boosting Multi-Modal Fine-Tuning with In-Context Examples

Tao Chen, Enwei Zhang, Yuting Gao +5

Although In-Context Learning (ICL) brings remarkable performance gains to Large Language Models (LLMs), the improvements remain lower than fine-tuning on downstream tasks. This pap…

cs.MM2023

MMAPS: End-to-End Multi-Grained Multi-Modal Attribute-Aware Product Summarization

Tao Chen, Ze Lin, Hui Li +4

Given the long textual product information and the product image, Multi-modal Product Summarization (MPS) aims to increase customers' desire to purchase by highlighting product cha…