42 citations · 125 across the 23 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
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.IR2023★ 1 cited
Towards Robust Text Retrieval with Progressive Learning
Tong Wu, Yulei Qin, Enwei Zhang +4
Retrieval augmentation has become an effective solution to empower large language models (LLMs) with external and verified knowledge sources from the database, which overcomes the…
cs.CV2023★ 2 cited
SoftCLIP: Softer Cross-modal Alignment Makes CLIP Stronger
Yuting Gao, Jinfeng Liu, Zihan Xu +5
During the preceding biennium, vision-language pre-training has achieved noteworthy success on several downstream tasks. Nevertheless, acquiring high-quality image-text pairs, wher…