activity
20162023
most citedPre-Training with Whole Word Masking for Chinese BERT

1.2k citations · 2.9k across the 87 of their papers we have counts for

collaborators

87 papers

cs.CL2023

Exploring Equation as a Better Intermediate Meaning Representation for Numerical Reasoning

Dingzirui Wang, Longxu Dou, Wenbin Zhang +2

Numerical reasoning is vital for natural language processing models to understand and process numerical information in real-world scenarios. Most current methods first generate the…

cs.SD2023

Improving Domain Generalization for Sound Classification with Sparse Frequency-Regularized Transformer

Honglin Mu, Wentian Xia, Wanxiang Che

Sound classification models' performance suffers from generalizing on out-of-distribution (OOD) data. Numerous methods have been proposed to help the model generalize. However, mos…

cs.CL2023★ 1 cited

MMSD2.0: Towards a Reliable Multi-modal Sarcasm Detection System

Libo Qin, Shijue Huang, Qiguang Chen +5

Multi-modal sarcasm detection has attracted much recent attention. Nevertheless, the existing benchmark (MMSD) has some shortcomings that hinder the development of reliable multi-m…

cs.CL2023

MetricPrompt: Prompting Model as a Relevance Metric for Few-shot Text Classification

Hongyuan Dong, Weinan Zhang, Wanxiang Che

Prompting methods have shown impressive performance in a variety of text mining tasks and applications, especially few-shot ones. Despite the promising prospects, the performance o…

cs.CV2023

ICDAR 2023 Competition on Structured Text Extraction from Visually-Rich Document Images

Wenwen Yu, Chengquan Zhang, Haoyu Cao +24

Structured text extraction is one of the most valuable and challenging application directions in the field of Document AI. However, the scenarios of past benchmarks are limited, an…

cs.CV2023

ManagerTower: Aggregating the Insights of Uni-Modal Experts for Vision-Language Representation Learning

Xiao Xu, Bei Li, Chenfei Wu +6

Two-Tower Vision-Language (VL) models have shown promising improvements on various downstream VL tasks. Although the most advanced work improves performance by building bridges bet…