Matt Gardner

ORCID

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 121

Top Venues

Publications

Shivanshu Gupta, Matt Gardner, Sameer Singh
Coverage-based Example Selection for In-Context Learning. CoRR (2023)
Shivanshu Gupta, Matt Gardner, Sameer Singh
Coverage-based Example Selection for In-Context Learning. EMNLP (Findings) (2023)
Anna Rogers, Matt Gardner, Isabelle Augenstein
QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension. ACM Comput. Surv. 55 (10) (2023)
Abhilasha Ravichander, Matt Gardner, Ana Marasovic
CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation. CoRR (2022)
Yasaman Razeghi, Robert L. Logan IV, Matt Gardner, Sameer Singh
Impact of Pretraining Term Frequencies on Few-Shot Numerical Reasoning. EMNLP (Findings) (2022)
Yasaman Razeghi, Robert L. Logan IV, Matt Gardner, Sameer Singh
Impact of Pretraining Term Frequencies on Few-Shot Reasoning. CoRR (2022)
Dheeru Dua, Shivanshu Gupta, Sameer Singh, Matt Gardner
Successive Prompting for Decomposing Complex Questions. EMNLP (2022)
Yuxiang Wu, Matt Gardner, Pontus Stenetorp, Pradeep Dasigi
Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets. ACL (1) (2022)
Akari Asai, Matt Gardner, Hannaneh Hajishirzi
Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks. NAACL-HLT (2022)
Shivanshu Gupta, Sameer Singh, Matt Gardner
Structurally Diverse Sampling Reduces Spurious Correlations in Semantic Parsing Datasets. CoRR (2022)
Orion Weller, Kevin D. Seppi, Matt Gardner
When to Use Multi-Task Learning vs Intermediate Fine-Tuning for Pre-Trained Encoder Transfer Learning. ACL (2) (2022)
Alexis Ross, Tongshuang Wu, Hao Peng, Matthew E. Peters, Matt Gardner
Tailor: Generating and Perturbing Text with Semantic Controls. ACL (1) (2022)
Qiang Ning, Ben Zhou, Hao Wu, Haoruo Peng, Chuchu Fan, Matt Gardner
A Meta-framework for Spatiotemporal Quantity Extraction from Text. ACL (1) (2022)
Sanjay Subramanian, William Merrill, Trevor Darrell, Matt Gardner, Sameer Singh, Anna Rohrbach
ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension. ACL (1) (2022)
Yuxiang Wu, Matt Gardner, Pontus Stenetorp, Pradeep Dasigi
Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets. CoRR (2022)
Shivanshu Gupta, Sameer Singh, Matt Gardner
Structurally Diverse Sampling for Sample-Efficient Training and Comprehensive Evaluation. EMNLP (Findings) (2022)
Dheeru Dua, Shivanshu Gupta, Sameer Singh, Matt Gardner
Successive Prompting for Decomposing Complex Questions. CoRR (2022)
Orion Weller, Kevin D. Seppi, Matt Gardner
When to Use Multi-Task Learning vs Intermediate Fine-Tuning for Pre-Trained Encoder Transfer Learning. CoRR (2022)
Yasaman Razeghi, Raja Sekhar Reddy Mekala, Robert L. Logan IV, Matt Gardner, Sameer Singh
Snoopy: An Online Interface for Exploring the Effect of Pretraining Term Frequencies on Few-Shot LM Performance. EMNLP (Demos) (2022)
Sanjay Subramanian, Will Merrill, Trevor Darrell, Matt Gardner, Sameer Singh, Anna Rohrbach
ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension. CoRR (2022)
Abhilasha Ravichander, Matt Gardner, Ana Marasovic
CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation. EMNLP (2022)
Akari Asai, Matt Gardner, Hannaneh Hajishirzi
Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks. CoRR (2021)
Anna Rogers, Matt Gardner, Isabelle Augenstein
QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension. CoRR (2021)
Dheeru Dua, Pradeep Dasigi, Sameer Singh, Matt Gardner
Learning with Instance Bundles for Reading Comprehension. EMNLP (1) (2021)
Dheeru Dua, Pradeep Dasigi, Sameer Singh, Matt Gardner
Learning with Instance Bundles for Reading Comprehension. CoRR (2021)
Alexis Ross, Tongshuang Wu, Hao Peng, Matthew E. Peters, Matt Gardner
Tailor: Generating and Perturbing Text with Semantic Controls. CoRR (2021)
Pradeep Dasigi, Kyle Lo, Iz Beltagy, Arman Cohan, Noah A. Smith, Matt Gardner
A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers. NAACL-HLT (2021)
Nitish Gupta, Sameer Singh, Matt Gardner
Enforcing Consistency in Weakly Supervised Semantic Parsing. ACL/IJCNLP (2) (2021)
Ben Bogin, Shivanshu Gupta, Matt Gardner, Jonathan Berant
COVR: A test-bed for Visually Grounded Compositional Generalization with real images. CoRR (2021)
Ansong Ni, Matt Gardner, Pradeep Dasigi
Mitigating False-Negative Contexts in Multi-document Question Answering with Retrieval Marginalization. EMNLP (1) (2021)
Ansong Ni, Matt Gardner, Pradeep Dasigi
Mitigating False-Negative Contexts in Multi-document QuestionAnswering with Retrieval Marginalization. CoRR (2021)
Nitish Gupta, Sameer Singh, Matt Gardner, Dan Roth
Paired Examples as Indirect Supervision in Latent Decision Models. CoRR (2021)
Ben Bogin, Shivanshu Gupta, Matt Gardner, Jonathan Berant
COVR: A Test-Bed for Visually Grounded Compositional Generalization with Real Images. EMNLP (1) (2021)
Matt Gardner, William Merrill, Jesse Dodge, Matthew E. Peters, Alexis Ross, Sameer Singh, Noah A. Smith
Competency Problems: On Finding and Removing Artifacts in Language Data. EMNLP (1) (2021)
Jesse Dodge, Maarten Sap, Ana Marasovic, William Agnew, Gabriel Ilharco, Dirk Groeneveld, Margaret Mitchell, Matt Gardner
Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus. EMNLP (1) (2021)
Dheeru Dua, Cícero Nogueira dos Santos, Patrick Ng, Ben Athiwaratkun, Bing Xiang, Matt Gardner, Sameer Singh
Generative Context Pair Selection for Multi-hop Question Answering. EMNLP (1) (2021)
Dheeru Dua, Cícero Nogueira dos Santos, Patrick Ng, Ben Athiwaratkun, Bing Xiang, Matt Gardner, Sameer Singh
Generative Context Pair Selection for Multi-hop Question Answering. CoRR (2021)
Pradeep Dasigi, Kyle Lo, Iz Beltagy, Arman Cohan, Noah A. Smith, Matt Gardner
A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers. CoRR (2021)
Nitish Gupta, Sameer Singh, Matt Gardner, Dan Roth
Paired Examples as Indirect Supervision in Latent Decision Models. EMNLP (1) (2021)
Nitish Gupta, Sameer Singh, Matt Gardner
Enforcing Consistency in Weakly Supervised Semantic Parsing. CoRR (2021)
Matt Gardner, William Merrill, Jesse Dodge, Matthew E. Peters, Alexis Ross, Sameer Singh, Noah A. Smith
Competency Problems: On Finding and Removing Artifacts in Language Data. CoRR (2021)
Jesse Dodge, Maarten Sap, Ana Marasovic, William Agnew, Gabriel Ilharco, Dirk Groeneveld, Matt Gardner
Documenting the English Colossal Clean Crawled Corpus. CoRR (2021)
Ben Bogin, Sanjay Subramanian, Matt Gardner, Jonathan Berant
Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering. Trans. Assoc. Comput. Linguistics 9 (2021)
Qiang Ning, Hao Wu, Pradeep Dasigi, Dheeru Dua, Matt Gardner, Robert L. Logan IV, Ana Marasovic, Zhen Nie
Easy, Reproducible and Quality-Controlled Data Collection with Crowdaq. CoRR (2020)
Qiang Ning, Hao Wu, Rujun Han, Nanyun Peng, Matt Gardner, Dan Roth
TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions. CoRR (2020)
Inbar Oren, Jonathan Herzig, Nitish Gupta, Matt Gardner, Jonathan Berant
Improving Compositional Generalization in Semantic Parsing. EMNLP (Findings) (2020)
Zhaofeng Wu, Matt Gardner
Understanding Mention Detector-Linker Interaction for Neural Coreference Resolution. CoRR (2020)
Sanjay Subramanian, Lucy Lu Wang, Ben Bogin, Sachin Mehta, Madeleine van Zuylen, Sravanthi Parasa, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi
MedICaT: A Dataset of Medical Images, Captions, and Textual References. EMNLP (Findings) (2020)
Jiangming Liu, Matt Gardner, Shay B. Cohen, Mirella Lapata
Multi-Step Inference for Reasoning Over Paragraphs. EMNLP (1) (2020)
Robert L. Logan IV, Matt Gardner, Sameer Singh
On Importance Sampling-Based Evaluation of Latent Language Models. ACL (2020)
Inbar Oren, Jonathan Herzig, Nitish Gupta, Matt Gardner, Jonathan Berant
Improving Compositional Generalization in Semantic Parsing. CoRR (2020)
Qiang Ning, Hao Wu, Pradeep Dasigi, Dheeru Dua, Matt Gardner, Robert L. Logan IV, Ana Marasovic, Zhen Nie
Easy, Reproducible and Quality-Controlled Data Collection with CROWDAQ. EMNLP (Demos) (2020)
Orion Weller, Nicholas Lourie, Matt Gardner, Matthew E. Peters
Learning from Task Descriptions. EMNLP (1) (2020)
Anthony Chen, Gabriel Stanovsky, Sameer Singh, Matt Gardner
MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics. CoRR (2020)
Ben Bogin, Sanjay Subramanian, Matt Gardner, Jonathan Berant
Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering. CoRR (2020)
Tomer Wolfson, Mor Geva, Ankit Gupta, Yoav Goldberg, Matt Gardner, Daniel Deutch, Jonathan Berant
Break It Down: A Question Understanding Benchmark. Trans. Assoc. Comput. Linguistics 8 (2020)
Sanjay Subramanian, Lucy Lu Wang, Sachin Mehta, Ben Bogin, Madeleine van Zuylen, Sravanthi Parasa, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi
MedICaT: A Dataset of Medical Images, Captions, and Textual References. CoRR (2020)
Anthony Chen, Gabriel Stanovsky, Sameer Singh, Matt Gardner
MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics. EMNLP (1) (2020)
James Ferguson, Matt Gardner, Hannaneh Hajishirzi, Tushar Khot, Pradeep Dasigi
IIRC: A Dataset of Incomplete Information Reading Comprehension Questions. CoRR (2020)
Tomer Wolfson, Mor Geva, Ankit Gupta, Matt Gardner, Yoav Goldberg, Daniel Deutch, Jonathan Berant
Break It Down: A Question Understanding Benchmark. CoRR (2020)
Eric Wallace, Matt Gardner, Sameer Singh
Interpreting Predictions of NLP Models. EMNLP (Tutorial Abstracts) (2020)
Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner
Obtaining Faithful Interpretations from Compositional Neural Networks. ACL (2020)
Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hanna Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou
Evaluating NLP Models via Contrast Sets. CoRR (2020)
Jiangming Liu, Matt Gardner
Multi-Step Inference for Reasoning Over Paragraphs. CoRR (2020)
Nitish Gupta, Kevin Lin, Dan Roth, Sameer Singh, Matt Gardner
Neural Module Networks for Reasoning over Text. ICLR (2020)
Qiang Ning, Hao Wu, Rujun Han, Nanyun Peng, Matt Gardner, Dan Roth
TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions. EMNLP (1) (2020)
James Ferguson, Matt Gardner, Hannaneh Hajishirzi, Tushar Khot, Pradeep Dasigi
IIRC: A Dataset of Incomplete Information Reading Comprehension Questions. EMNLP (1) (2020)
Matt Gardner, Yoav Artzi, Victoria Basmova, Jonathan Berant, Ben Bogin, Sihao Chen, Pradeep Dasigi, Dheeru Dua, Yanai Elazar, Ananth Gottumukkala, Nitish Gupta, Hannaneh Hajishirzi, Gabriel Ilharco, Daniel Khashabi, Kevin Lin, Jiangming Liu, Nelson F. Liu, Phoebe Mulcaire, Qiang Ning, Sameer Singh, Noah A. Smith, Sanjay Subramanian, Reut Tsarfaty, Eric Wallace, Ally Zhang, Ben Zhou
Evaluating Models' Local Decision Boundaries via Contrast Sets. EMNLP (Findings) (2020)
Orion Weller, Nicholas Lourie, Matt Gardner, Matthew E. Peters
Learning from Task Descriptions. CoRR (2020)
Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner
Obtaining Faithful Interpretations from Compositional Neural Networks. CoRR (2020)
Ananth Gottumukkala, Dheeru Dua, Sameer Singh, Matt Gardner
Dynamic Sampling Strategies for Multi-Task Reading Comprehension. ACL (2020)
Dheeru Dua, Sameer Singh, Matt Gardner
Benefits of Intermediate Annotations in Reading Comprehension. ACL (2020)
Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh, Matt Gardner
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs. CoRR (2019)
Pradeep Dasigi, Nelson F. Liu, Ana Marasovic, Noah A. Smith, Matt Gardner
Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning. CoRR (2019)
Anthony Chen, Gabriel Stanovsky, Sameer Singh, Matt Gardner
Evaluating Question Answering Evaluation. MRQA@EMNLP (2019)
Nitish Gupta, Kevin Lin, Dan Roth, Sameer Singh, Matt Gardner
Neural Module Networks for Reasoning over Text. CoRR (2019)
Oyvind Tafjord, Matt Gardner, Kevin Lin, Peter Clark
QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions. CoRR (2019)
Yan-Bin Jia, Matt Gardner, Xiaoqian Mu
Batting an in-flight object to the target. Int. J. Robotics Res. 38 (4) (2019)
Matt Gardner, Jonathan Berant, Hannaneh Hajishirzi, Alon Talmor, Sewon Min
On Making Reading Comprehension More Comprehensive. MRQA@EMNLP (2019)
Nelson F. Liu, Matt Gardner, Yonatan Belinkov, Matthew E. Peters, Noah A. Smith
Linguistic Knowledge and Transferability of Contextual Representations. CoRR (2019)
Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-tau Yih, Ashish Sabharwal
QUAREL: A Dataset and Models for Answering Questions about Qualitative Relationships. AAAI (2019)
Robert L. Logan IV, Nelson F. Liu, Matthew E. Peters, Matt Gardner, Sameer Singh
Barack's Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling. ACL (1) (2019)
Ben Bogin, Matt Gardner, Jonathan Berant
Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing. CoRR (2019)
Kevin Lin, Oyvind Tafjord, Peter Clark, Matt Gardner
Reasoning Over Paragraph Effects in Situations. CoRR (2019)
Matt Gardner, Jonathan Berant, Hannaneh Hajishirzi, Alon Talmor, Sewon Min
Question Answering is a Format; When is it Useful? CoRR (2019)
Eric Wallace, Yizhong Wang, Sujian Li, Sameer Singh, Matt Gardner
Do NLP Models Know Numbers? Probing Numeracy in Embeddings. CoRR (2019)
Sewon Min, Eric Wallace, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi, Luke Zettlemoyer
Compositional Questions Do Not Necessitate Multi-hop Reasoning. CoRR (2019)
Eric Wallace, Jens Tuyls, Junlin Wang, Sanjay Subramanian, Matt Gardner, Sameer Singh
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models. EMNLP/IJCNLP (3) (2019)
Eric Wallace, Jens Tuyls, Junlin Wang, Sanjay Subramanian, Matt Gardner, Sameer Singh
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models. CoRR (2019)
Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh, Matt Gardner
DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs. NAACL-HLT (1) (2019)
Kevin Lin, Ben Bogin, Mark Neumann, Jonathan Berant, Matt Gardner
Grammar-based Neural Text-to-SQL Generation. CoRR (2019)
Robert L. Logan IV, Nelson F. Liu, Matthew E. Peters, Matt Gardner, Sameer Singh
Barack's Wife Hillary: Using Knowledge-Graphs for Fact-Aware Language Modeling. CoRR (2019)
Dheeru Dua, Ananth Gottumukkala, Alon Talmor, Sameer Singh, Matt Gardner
Comprehensive Multi-Dataset Evaluation of Reading Comprehension. MRQA@EMNLP (2019)
Eric Wallace, Yizhong Wang, Sujian Li, Sameer Singh, Matt Gardner
Do NLP Models Know Numbers? Probing Numeracy in Embeddings. EMNLP/IJCNLP (1) (2019)
Nelson F. Liu, Matt Gardner, Yonatan Belinkov, Matthew E. Peters, Noah A. Smith
Linguistic Knowledge and Transferability of Contextual Representations. NAACL-HLT (1) (2019)
Pradeep Dasigi, Matt Gardner, Shikhar Murty, Luke Zettlemoyer, Eduard H. Hovy
Iterative Search for Weakly Supervised Semantic Parsing. NAACL-HLT (1) (2019)
Ben Bogin, Matt Gardner, Jonathan Berant
Global Reasoning over Database Structures for Text-to-SQL Parsing. EMNLP/IJCNLP (1) (2019)
Sanjay Subramanian, Sameer Singh, Matt Gardner
Analyzing Compositionality in Visual Question Answering. ViGIL@NeurIPS (2019)
Oyvind Tafjord, Matt Gardner, Kevin Lin, Peter Clark
QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions. EMNLP/IJCNLP (1) (2019)
Ben Bogin, Matt Gardner, Jonathan Berant
Global Reasoning over Database Structures for Text-to-SQL Parsing. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Matt Gardner