3 citations · 4 across the 9 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.CV2023★ 3 cited
PDF: Point Diffusion Implicit Function for Large-scale Scene Neural Representation
Yuhan Ding, Fukun Yin, Jiayuan Fan +6
Recent advances in implicit neural representations have achieved impressive results by sampling and fusing individual points along sampling rays in the sampling space. However, due…
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…