UMass at TREC WEB 2014: Entity Query Feature Expansion using Knowledge Base Links. - Laura Dietz; Patrick Verga (TREC, 2014)

Building Knowledge Bases with Universal Schema: Cold Start and Slot-Filling Approaches. - Benjamin Roth 001; Nicholas Monath; David Belanger 002; Emma Strubell; Patrick Verga; Andrew McCallum (TAC, 2015)

Row-less Universal Schema. - Patrick Verga; Andrew McCallum (AKBC@NAACL-HLT, 2016)

Multilingual Relation Extraction using Compositional Universal Schema. - Patrick Verga; David Belanger 002; Emma Strubell; Benjamin Roth 001; Andrew McCallum (HLT-NAACL, 2016)

Extracting Multilingual Relations under Limited Resources: TAC 2016 Cold-Start KB construction and Slot-Filling using Compositional Universal Schema. - Haw-Shiuan Chang; Abdurrahman Munir; Ao Liu 003; Johnny Tian-Zheng Wei; Aaron Traylor; Ajay Nagesh; Nicholas Monath; Patrick Verga; Emma Strubell; Andrew McCallum (TAC, 2016)

Finer Grained Entity Typing with TypeNet. - Shikhar Murty; Patrick Verga; Luke Vilnis; Andrew McCallum (AKBC@NIPS, 2017)

Attending to All Mention Pairs for Full Abstract Biological Relation Extraction. - Patrick Verga; Emma Strubell; Ofer Shai; Andrew McCallum (AKBC@NIPS, 2017)

Generalizing to Unseen Entities and Entity Pairs with Row-less Universal Schema. - Patrick Verga; Arvind Neelakantan; Andrew McCallum (EACL (1), 2017)

Fast and Accurate Entity Recognition with Iterated Dilated Convolutions. - Emma Strubell; Patrick Verga; David Belanger 002; Andrew McCallum (EMNLP, 2017)

Fast and Accurate Sequence Labeling with Iterated Dilated Convolutions. - Emma Strubell; Patrick Verga; David Belanger 002; Andrew McCallum (CoRR, 2017)

Hierarchical Losses and New Resources for Fine-grained Entity Typing and Linking. - Shikhar Murty; Patrick Verga; Luke Vilnis; Irena Radovanovic; Andrew McCallum (ACL (1), 2018)

Marginal Likelihood Training of BiLSTM-CRF for Biomedical Named Entity Recognition from Disjoint Label Sets. - Nathan Greenberg; Trapit Bansal; Patrick Verga; Andrew McCallum (EMNLP, 2018)

Linguistically-Informed Self-Attention for Semantic Role Labeling. - Emma Strubell; Patrick Verga; Daniel Andor; David Weiss 001; Andrew McCallum (EMNLP, 2018)

Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction. - Patrick Verga; Emma Strubell; Andrew McCallum (NAACL-HLT, 2018)

Unsupervised Labeled Parsing with Deep Inside-Outside Recursive Autoencoders. - Andrew Drozdov; Patrick Verga; Yi-Pei Chen 001; Mohit Iyyer; Andrew McCallum (EMNLP/IJCNLP (1), 2019)

Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Auto-Encoders. - Andrew Drozdov; Patrick Verga; Mohit Yadav; Mohit Iyyer; Andrew McCallum (NAACL-HLT (1), 2019)

Unsupervised Latent Tree Induction with Deep Inside-Outside Recursive Autoencoders. - Andrew Drozdov; Patrick Verga; Mohit Yadav; Mohit Iyyer; Andrew McCallum (CoRR, 2019)

Simultaneously Linking Entities and Extracting Relations from Biomedical Text without Mention-Level Supervision. - Trapit Bansal; Patrick Verga; Neha Choudhary; Andrew McCallum (AAAI, 2020)

Facts as Experts: Adaptable and Interpretable Neural Memory over Symbolic Knowledge. - Pat Verga; Haitian Sun; Livio Baldini Soares; William W. Cohen (CoRR, 2020)

Multilingual Fact Linking. - Keshav Kolluru; Martin Rezk; Pat Verga; William W. Cohen; Partha P. Talukdar (AKBC, 2021)

Reasoning Over Virtual Knowledge Bases With Open Predicate Relations. - Haitian Sun; Patrick Verga; Bhuwan Dhingra; Ruslan Salakhutdinov; William W. Cohen (ICML, 2021)

Adaptable and Interpretable Neural MemoryOver Symbolic Knowledge. - Pat Verga; Haitian Sun; Livio Baldini Soares; William W. Cohen (NAACL-HLT, 2021)

Answering Natural-Language Questions with Neuro-Symbolic Knowledge Bases. - Haitian Sun; Pat Verga; William W. Cohen (Neuro-Symbolic Artificial Intelligence, 2021)

MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text. - Wenhu Chen; Hexiang Hu; Xi Chen 071; Pat Verga; William W. Cohen (EMNLP, 2022)

Faithful to the Document or to the World? Mitigating Hallucinations via Entity-Linked Knowledge in Abstractive Summarization. - Yue Dong 002; John Wieting; Pat Verga (EMNLP (Findings), 2022)

Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models. - Bernd Bohnet; Vinh Q. Tran 002; Pat Verga; Roee Aharoni; Daniel Andor; Livio Baldini Soares; Jacob Eisenstein; Kuzman Ganchev; Jonathan Herzig; Kai Hui 001; Tom Kwiatkowski; Ji Ma 004; et al. (CoRR, 2022)

QA Is the New KR: Question-Answer Pairs as Knowledge Bases. - William W. Cohen; Wenhu Chen; Michiel de Jong; Nitish Gupta; Alessandro Presta; Pat Verga; John Wieting (AAAI, 2023)

To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering. - Dheeru Dua; Emma Strubell; Sameer Singh 001; Pat Verga (ACL (1), 2023)

Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering. - Wenhu Chen; Pat Verga; Michiel de Jong; John Wieting; William W. Cohen (EACL, 2023)

Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models. - Pat Verga; Sebastian Hofstätter; Sophia Althammer; Yixuan Su; Aleksandra Piktus; Arkady Arkhangorodsky; Minjie Xu; Naomi White; Patrick Lewis 002 (CoRR, 2024)

Multilingual Arbitrage: Optimizing Data Pools to Accelerate Multilingual Progress. - Ayomide Odumakinde; Daniel D'souza; Pat Verga; Beyza Ermis; Sara Hooker (CoRR, 2024)

ALR2: A Retrieve-then-Reason Framework for Long-context Question Answering. - Huayang Li; Pat Verga; Priyanka Sen; Bowen Yang; Vijay Viswanathan; Patrick Lewis 002; Taro Watanabe; Yixuan Su (CoRR, 2024)

FLARE: Faithful Logic-Aided Reasoning and Exploration. - Erik Arakelyan; Pasquale Minervini; Pat Verga; Patrick S. H. Lewis; Isabelle Augenstein (CoRR, 2024)

Multilingual Arbitration: Optimizing Data Pools to Accelerate Multilingual Progress. - Ayomide Odumakinde; Daniel D'souza; Pat Verga; Beyza Ermis; Sara Hooker (ACL (1), 2025)