2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CL2022★ 2 cited
Type-enriched Hierarchical Contrastive Strategy for Fine-Grained Entity Typing
Xinyu Zuo, Haijin Liang, Ning Jing +3
Fine-grained entity typing (FET) aims to deduce specific semantic types of the entity mentions in text. Modern methods for FET mainly focus on learning what a certain type looks li…
cs.CL2022
ChiQA: A Large Scale Image-based Real-World Question Answering Dataset for Multi-Modal Understanding
Bingning Wang, Feiyang Lv, Ting Yao +4
Visual question answering is an important task in both natural language and vision understanding. However, in most of the public visual question answering datasets such as VQA, CLE…
cs.CL2022
Bridging the Gap Between Training and Inference of Bayesian Controllable Language Models
Han Liu, Bingning Wang, Ting Yao +3
Large-scale pre-trained language models have achieved great success on natural language generation tasks. However, it is difficult to control the pre-trained language models to gen…