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 Pat Verga

Pat Verga
Alert button

To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering


Dec 20, 2022
Dheeru Dua, Emma Strubell, Sameer Singh, Pat Verga

Add code
Alert button

Figure 1 for To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering
Figure 2 for To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering
Figure 3 for To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering
Figure 4 for To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models


Dec 15, 2022
Bernd Bohnet, Vinh Q. Tran, Pat Verga, Roee Aharoni, Daniel Andor, Livio Baldini Soares, Jacob Eisenstein, Kuzman Ganchev, Jonathan Herzig, Kai Hui, Tom Kwiatkowski, Ji Ma, Jianmo Ni, Tal Schuster, William W. Cohen, Michael Collins, Dipanjan Das, Donald Metzler, Slav Petrov, Kellie Webster

Add code
Alert button

Figure 1 for Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models
Figure 2 for Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models
Figure 3 for Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models
Figure 4 for Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text


Oct 06, 2022
Wenhu Chen, Hexiang Hu, Xi Chen, Pat Verga, William W. Cohen

Add code
Alert button

Figure 1 for MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text
Figure 2 for MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text
Figure 3 for MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text
Figure 4 for MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text
* Accepted to EMNLP 2022 main conference 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

QA Is the New KR: Question-Answer Pairs as Knowledge Bases


Jul 01, 2022
Wenhu Chen, William W. Cohen, Michiel De Jong, Nitish Gupta, Alessandro Presta, Pat Verga, John Wieting

Add code
Alert button

Figure 1 for QA Is the New KR: Question-Answer Pairs as Knowledge Bases
Figure 2 for QA Is the New KR: Question-Answer Pairs as Knowledge Bases
Figure 3 for QA Is the New KR: Question-Answer Pairs as Knowledge Bases
Figure 4 for QA Is the New KR: Question-Answer Pairs as Knowledge Bases

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Faithful to the Document or to the World? Mitigating Hallucinations via Entity-linked Knowledge in Abstractive Summarization


Apr 28, 2022
Yue Dong, John Wieting, Pat Verga

Add code
Alert button

Figure 1 for Faithful to the Document or to the World? Mitigating Hallucinations via Entity-linked Knowledge in Abstractive Summarization
Figure 2 for Faithful to the Document or to the World? Mitigating Hallucinations via Entity-linked Knowledge in Abstractive Summarization
Figure 3 for Faithful to the Document or to the World? Mitigating Hallucinations via Entity-linked Knowledge in Abstractive Summarization
Figure 4 for Faithful to the Document or to the World? Mitigating Hallucinations via Entity-linked Knowledge in Abstractive Summarization
* 12 pages, 5 figures 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering


Apr 10, 2022
Wenhu Chen, Pat Verga, Michiel de Jong, John Wieting, William Cohen

Add code
Alert button

Figure 1 for Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering
Figure 2 for Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering
Figure 3 for Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering
Figure 4 for Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Multilingual Fact Linking


Oct 01, 2021
Keshav Kolluru, Martin Rezk, Pat Verga, William W. Cohen, Partha Talukdar

Add code
Alert button

Figure 1 for Multilingual Fact Linking
Figure 2 for Multilingual Fact Linking
Figure 3 for Multilingual Fact Linking
Figure 4 for Multilingual Fact Linking
* AKBC 2021 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Reasoning Over Virtual Knowledge Bases With Open Predicate Relations


Feb 14, 2021
Haitian Sun, Pat Verga, Bhuwan Dhingra, Ruslan Salakhutdinov, William W. Cohen

Add code
Alert button

Figure 1 for Reasoning Over Virtual Knowledge Bases With Open Predicate Relations
Figure 2 for Reasoning Over Virtual Knowledge Bases With Open Predicate Relations
Figure 3 for Reasoning Over Virtual Knowledge Bases With Open Predicate Relations
Figure 4 for Reasoning Over Virtual Knowledge Bases With Open Predicate Relations

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge


Jul 02, 2020
Pat Verga, Haitian Sun, Livio Baldini Soares, William W. Cohen

Add code
Alert button

Figure 1 for Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge
Figure 2 for Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge
Figure 3 for Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge
Figure 4 for Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge

   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email

Simultaneously Linking Entities and Extracting Relations from Biomedical Text Without Mention-level Supervision


Dec 02, 2019
Trapit Bansal, Pat Verga, Neha Choudhary, Andrew McCallum

Add code
Alert button

Figure 1 for Simultaneously Linking Entities and Extracting Relations from Biomedical Text Without Mention-level Supervision
Figure 2 for Simultaneously Linking Entities and Extracting Relations from Biomedical Text Without Mention-level Supervision
Figure 3 for Simultaneously Linking Entities and Extracting Relations from Biomedical Text Without Mention-level Supervision
Figure 4 for Simultaneously Linking Entities and Extracting Relations from Biomedical Text Without Mention-level Supervision
* Accepted in AAAI 2020 
   Access Paper or Ask Questions
  • Share via Twitter
  • Share via Facebook
  • Share via LinkedIn
  • Share via Whatsapp
  • Share via Messenger
  • Share via Email
1
2
>>