activity
20182022
most citedBadPrompt: Backdoor Attacks on Continuous Prompts

18 citations · 32 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CL202218 cited

BadPrompt: Backdoor Attacks on Continuous Prompts

Xiangrui Cai, Haidong Xu, Sihan Xu +2

The prompt-based learning paradigm has gained much research attention recently. It has achieved state-of-the-art performance on several NLP tasks, especially in the few-shot scenar…

cs.CL20226 cited

MoSE: Modality Split and Ensemble for Multimodal Knowledge Graph Completion

Yu Zhao, Xiangrui Cai, Yike Wu +4

Multimodal knowledge graph completion (MKGC) aims to predict missing entities in MKGs. Previous works usually share relation representation across modalities. This results in mutua…

cs.CL20227 cited

Overcoming Language Priors in Visual Question Answering via Distinguishing Superficially Similar Instances

Yike Wu, Yu Zhao, Shiwan Zhao +4

Despite the great progress of Visual Question Answering (VQA), current VQA models heavily rely on the superficial correlation between the question type and its corresponding freque…

cs.CL20221 cited

Multi-grained Label Refinement Network with Dependency Structures for Joint Intent Detection and Slot Filling

Baohang Zhou, Ying Zhang, Xuhui Sui +2

Slot filling and intent detection are two fundamental tasks in the field of natural language understanding. Due to the strong correlation between these two tasks, previous studies…

cs.CL2019

Improving Captioning for Low-Resource Languages by Cycle Consistency

Yike Wu, Shiwan Zhao, Jia Chen +3

Improving the captioning performance on low-resource languages by leveraging English caption datasets has received increasing research interest in recent years. Existing works main…

cs.CL2018

Medical Concept Embedding with Time-Aware Attention

Xiangrui Cai, Jinyang Gao, Kee Yuan Ngiam +3

Embeddings of medical concepts such as medication, procedure and diagnosis codes in Electronic Medical Records (EMRs) are central to healthcare analytics. Previous work on medical…