Get our free extension to see links to code for papers anywhere online!

Chrome logo  Add to Chrome

Firefox logo Add to Firefox
Picture for Lifu Huang

Lifu Huang

Virginia Tech

Improve Event Extraction via Self-Training with Gradient Guidance



Zhiyang Xu , Lifu Huang

Figure 1 for Improve Event Extraction via Self-Training with Gradient Guidance
Figure 2 for Improve Event Extraction via Self-Training with Gradient Guidance
Figure 3 for Improve Event Extraction via Self-Training with Gradient Guidance
Figure 4 for Improve Event Extraction via Self-Training with Gradient Guidance
* 9 pages, 4 figures 
   Access Paper or Ask Questions

End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models



Barry Menglong Yao , Aditya Shah , Lichao Sun , Jin-Hee Cho , Lifu Huang

Figure 1 for End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models
Figure 2 for End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models
Figure 3 for End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models
Figure 4 for End-to-End Multimodal Fact-Checking and Explanation Generation: A Challenging Dataset and Models
* 12 pages, 4 figures 
   Access Paper or Ask Questions

Probing Script Knowledge from Pre-Trained Models



Zijian Jin , Xingyu Zhang , Mo Yu , Lifu Huang

Figure 1 for Probing Script Knowledge from Pre-Trained Models
Figure 2 for Probing Script Knowledge from Pre-Trained Models
Figure 3 for Probing Script Knowledge from Pre-Trained Models
Figure 4 for Probing Script Knowledge from Pre-Trained Models

   Access Paper or Ask Questions

Identifying and Measuring Token-Level Sentiment Bias in Pre-trained Language Models with Prompts



Apoorv Garg , Deval Srivastava , Zhiyang Xu , Lifu Huang

Figure 1 for Identifying and Measuring Token-Level Sentiment Bias in Pre-trained Language Models with Prompts
Figure 2 for Identifying and Measuring Token-Level Sentiment Bias in Pre-trained Language Models with Prompts
Figure 3 for Identifying and Measuring Token-Level Sentiment Bias in Pre-trained Language Models with Prompts
Figure 4 for Identifying and Measuring Token-Level Sentiment Bias in Pre-trained Language Models with Prompts
* 5 pages, 2 figures 
   Access Paper or Ask Questions

Incremental Prompting: Episodic Memory Prompt for Lifelong Event Detection



Minqian Liu , Shiyu Chang , Lifu Huang

Figure 1 for Incremental Prompting: Episodic Memory Prompt for Lifelong Event Detection
Figure 2 for Incremental Prompting: Episodic Memory Prompt for Lifelong Event Detection
Figure 3 for Incremental Prompting: Episodic Memory Prompt for Lifelong Event Detection
Figure 4 for Incremental Prompting: Episodic Memory Prompt for Lifelong Event Detection
* 8 pages, 2 figures 
   Access Paper or Ask Questions

The Art of Prompting: Event Detection based on Type Specific Prompts



Sijia Wang , Mo Yu , Lifu Huang

Figure 1 for The Art of Prompting: Event Detection based on Type Specific Prompts
Figure 2 for The Art of Prompting: Event Detection based on Type Specific Prompts
Figure 3 for The Art of Prompting: Event Detection based on Type Specific Prompts
Figure 4 for The Art of Prompting: Event Detection based on Type Specific Prompts

   Access Paper or Ask Questions

Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation



Kai Zhang , Yu Wang , Hongyi Wang , Lifu Huang , Carl Yang , Lichao Sun

Figure 1 for Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation
Figure 2 for Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation
Figure 3 for Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation
Figure 4 for Efficient Federated Learning on Knowledge Graphs via Privacy-preserving Relation Embedding Aggregation
* Accepted to ACL 2022 Workshop on Federated Learning for Natural Language Processing 
   Access Paper or Ask Questions

PLANET: Dynamic Content Planning in Autoregressive Transformers for Long-form Text Generation



Zhe Hu , Hou Pong Chan , Jiachen Liu , Xinyan Xiao , Hua Wu , Lifu Huang

Figure 1 for PLANET: Dynamic Content Planning in Autoregressive Transformers for Long-form Text Generation
Figure 2 for PLANET: Dynamic Content Planning in Autoregressive Transformers for Long-form Text Generation
Figure 3 for PLANET: Dynamic Content Planning in Autoregressive Transformers for Long-form Text Generation
Figure 4 for PLANET: Dynamic Content Planning in Autoregressive Transformers for Long-form Text Generation

   Access Paper or Ask Questions

Efficient Long Sequence Encoding via Synchronization



Xiangyang Mou , Mo Yu , Bingsheng Yao , Lifu Huang

Figure 1 for Efficient Long Sequence Encoding via Synchronization
Figure 2 for Efficient Long Sequence Encoding via Synchronization
Figure 3 for Efficient Long Sequence Encoding via Synchronization
* 5 pages, short paper 
   Access Paper or Ask Questions

Inferring Commonsense Explanations as Prompts for Future Event Generation



Li Lin , Yixin Cao , Lifu Huang , Shuang Li , Xuming Hu , Lijie Wen , Jianmin Wang

Figure 1 for Inferring Commonsense Explanations as Prompts for Future Event Generation
Figure 2 for Inferring Commonsense Explanations as Prompts for Future Event Generation
Figure 3 for Inferring Commonsense Explanations as Prompts for Future Event Generation
Figure 4 for Inferring Commonsense Explanations as Prompts for Future Event Generation

   Access Paper or Ask Questions
1
2
3
4
>>