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20162026
most citedLayoutLM: Pre-training of Text and Layout for Document Image Understanding

687 citations · 4k across the 58 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

cs.CV2022★ 1 cited

HORIZON: High-Resolution Semantically Controlled Panorama Synthesis

Kun Yan, Lei Ji, Chenfei Wu +4

Panorama synthesis endeavors to craft captivating 360-degree visual landscapes, immersing users in the heart of virtual worlds. Nevertheless, contemporary panoramic synthesis techn…

cs.CL2022★ 2 cited

Improving Task Generalization via Unified Schema Prompt

Wanjun Zhong, Yifan Gao, Ning Ding +5

Task generalization has been a long standing challenge in Natural Language Processing (NLP). Recent research attempts to improve the task generalization ability of pre-trained lang…

cs.CL2022★ 1 cited

ProQA: Structural Prompt-based Pre-training for Unified Question Answering

Wanjun Zhong, Yifan Gao, Ning Ding +6

Question Answering (QA) is a longstanding challenge in natural language processing. Existing QA works mostly focus on specific question types, knowledge domains, or reasoning skill…

cs.CL2022

UniXcoder: Unified Cross-Modal Pre-training for Code Representation

Daya Guo, Shuai Lu, Nan Duan +3

Pre-trained models for programming languages have recently demonstrated great success on code intelligence. To support both code-related understanding and generation tasks, recent…

cs.CL2022★ 10 cited

Reasoning over Hybrid Chain for Table-and-Text Open Domain QA

Wanjun Zhong, Junjie Huang, Qian Liu +4

Tabular and textual question answering requires systems to perform reasoning over heterogeneous information, considering table structure, and the connections among table and text.…

cs.CL2022★ 28 cited

A Survey of Controllable Text Generation using Transformer-based Pre-trained Language Models

Hanqing Zhang, Haolin Song, Shaoyu Li +2

Controllable Text Generation (CTG) is emerging area in the field of natural language generation (NLG). It is regarded as crucial for the development of advanced text generation tec…