168 citations · 536 across the 43 of their papers we have counts for
8 papers · 1 filter
Achieving Human Parity on Visual Question Answering
Ming Yan, Haiyang Xu, Chenliang Li +14
The Visual Question Answering (VQA) task utilizes both visual image and language analysis to answer a textual question with respect to an image. It has been a popular research topi…
K-AID: Enhancing Pre-trained Language Models with Domain Knowledge for Question Answering
Fu Sun, Feng-Lin Li, Ruize Wang +3
Knowledge enhanced pre-trained language models (K-PLMs) are shown to be effective for many public tasks in the literature but few of them have been successfully applied in practice…
AliMe MKG: A Multi-modal Knowledge Graph for Live-streaming E-commerce
Guohai Xu, Hehong Chen, Feng-Lin Li +6
Live streaming is becoming an increasingly popular trend of sales in E-commerce. The core of live-streaming sales is to encourage customers to purchase in an online broadcasting ro…
GGP: A Graph-based Grouping Planner for Explicit Control of Long Text Generation
Xuming Lin, Shaobo Cui, Zhongzhou Zhao +3
Existing data-driven methods can well handle short text generation. However, when applied to the long-text generation scenarios such as story generation or advertising text generat…
SPMoE: Generate Multiple Pattern-Aware Outputs with Sparse Pattern Mixture of Experts
Shaobo Cui, Xintong Bao, Xuming Lin +4
Many generation tasks follow a one-to-many mapping relationship: each input could be associated with multiple outputs. Existing methods like Conditional Variational AutoEncoder(CVA…
ROSITA: Enhancing Vision-and-Language Semantic Alignments via Cross- and Intra-modal Knowledge Integration
Yuhao Cui, Zhou Yu, Chunqi Wang +4
Vision-and-language pretraining (VLP) aims to learn generic multimodal representations from massive image-text pairs. While various successful attempts have been proposed, learning…
AdaVQA: Overcoming Language Priors with Adapted Margin Cosine Loss
Yangyang Guo, Liqiang Nie, Zhiyong Cheng +3
A number of studies point out that current Visual Question Answering (VQA) models are severely affected by the language prior problem, which refers to blindly making predictions ba…
OneStop QAMaker: Extract Question-Answer Pairs from Text in a One-Stop Approach
Shaobo Cui, Xintong Bao, Xinxing Zu +4
Large-scale question-answer (QA) pairs are critical for advancing research areas like machine reading comprehension and question answering. To construct QA pairs from documents req…