activity
20192023
most citedInvestigating the Effectiveness of Representations Based on Pretrained Transformer-based Language Models in Active Learning for Labelling Text Datasets

13 citations · 39 across the 9 of their papers we have counts for

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Showing 2023Show all

2 papers · 1 filter

cs.AI2023★ 9 cited

UniDoc: A Universal Large Multimodal Model for Simultaneous Text Detection, Recognition, Spotting and Understanding

Hao Feng, Zijian Wang, Jingqun Tang +4

In the era of Large Language Models (LLMs), tremendous strides have been made in the field of multimodal understanding. However, existing advanced algorithms are limited to effecti…

cs.CV2023

Deeply Coupled Cross-Modal Prompt Learning

Xuejing Liu, Wei Tang, Jinghui Lu +3

Recent advancements in multimodal foundation models (e.g., CLIP) have excelled in zero-shot generalization. Prompt tuning involved in the knowledge transfer from foundation models…