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20202026
most citedA Frustratingly Simple Approach for End-to-End Image Captioning

12 citations · 26 across the 10 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

cs.CL2022

Probing Simile Knowledge from Pre-trained Language Models

Weijie Chen, Yongzhu Chang, Rongsheng Zhang +6

Simile interpretation (SI) and simile generation (SG) are challenging tasks for NLP because models require adequate world knowledge to produce predictions. Previous works have empl…

cs.CL2022

DecBERT: Enhancing the Language Understanding of BERT with Causal Attention Masks

Ziyang Luo, Yadong Xi, Jing Ma +4

Since 2017, the Transformer-based models play critical roles in various downstream Natural Language Processing tasks. However, a common limitation of the attention mechanism utiliz…

cs.CL2022★ 3 cited

I-Tuning: Tuning Frozen Language Models with Image for Lightweight Image Captioning

Ziyang Luo, Zhipeng Hu, Yadong Xi +2

Image Captioning is a traditional vision-and-language task that aims to generate the language description of an image. Recent studies focus on scaling up the model size and the num…

cs.CL2022★ 4 cited

Youling: an AI-Assisted Lyrics Creation System

Rongsheng Zhang, Xiaoxi Mao, Le Li +6

Recently, a variety of neural models have been proposed for lyrics generation. However, most previous work completes the generation process in a single pass with little human inter…

cs.CV2022★ 12 cited

A Frustratingly Simple Approach for End-to-End Image Captioning

Ziyang Luo, Yadong Xi, Rongsheng Zhang +1

Image Captioning is a fundamental task to join vision and language, concerning about cross-modal understanding and text generation. Recent years witness the emerging attention on i…