Matt Gardner
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
59
Venues
5
Active years
2013–2023
Best venue rank
A*
Where they publish
Papers
59 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | EMNLP | Coverage-based Example Selection for In-Context Learning. | Shivanshu Gupta, Matt Gardner, Sameer Singh |
| 2022 | ACL | A Meta-framework for Spatiotemporal Quantity Extraction from Text. | Qiang Ning, Ben Zhou, Hao Wu, Haoruo Peng, Chuchu Fan, Matt Gardner |
| 2022 | ACL | Tailor: Generating and Perturbing Text with Semantic Controls. | Alexis Ross, Tongshuang Wu, Hao Peng, Matthew E. Peters, Matt Gardner |
| 2022 | ACL | ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension. | Sanjay Subramanian, William Merrill, Trevor Darrell, Matt Gardner, Sameer Singh, Anna Rohrbach |
| 2022 | ACL | When to Use Multi-Task Learning vs Intermediate Fine-Tuning for Pre-Trained Encoder Transfer Learning. | Orion Weller, Kevin D. Seppi, Matt Gardner |
| 2022 | ACL | Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets. | Yuxiang Wu, Matt Gardner, Pontus Stenetorp, Pradeep Dasigi |
| 2022 | EMNLP | Successive Prompting for Decomposing Complex Questions. | Dheeru Dua, Shivanshu Gupta, Sameer Singh, Matt Gardner |
| 2022 | EMNLP | Structurally Diverse Sampling for Sample-Efficient Training and Comprehensive Evaluation. | Shivanshu Gupta, Sameer Singh, Matt Gardner |
| 2022 | EMNLP | CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation. | Abhilasha Ravichander, Matt Gardner, Ana Marasovic |
| 2022 | EMNLP | Impact of Pretraining Term Frequencies on Few-Shot Numerical Reasoning. | Yasaman Razeghi, Robert L. Logan IV, Matt Gardner, Sameer Singh |
| 2022 | EMNLP | Snoopy: An Online Interface for Exploring the Effect of Pretraining Term Frequencies on Few-Shot LM Performance. | Yasaman Razeghi, Raja Sekhar Reddy Mekala, Robert L. Logan IV, Matt Gardner, Sameer Singh |
| 2022 | NAACL | Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks. | Akari Asai, Matt Gardner, Hannaneh Hajishirzi |
| 2021 | ACL | Enforcing Consistency in Weakly Supervised Semantic Parsing. | Nitish Gupta, Sameer Singh, Matt Gardner |
| 2021 | EMNLP | Competency Problems: On Finding and Removing Artifacts in Language Data. | Matt Gardner, William Merrill, Jesse Dodge, Matthew E. Peters, Alexis Ross, Sameer Singh, Noah A. Smith |
| 2021 | EMNLP | COVR: A Test-Bed for Visually Grounded Compositional Generalization with Real Images. | Ben Bogin, Shivanshu Gupta, Matt Gardner, Jonathan Berant |
| 2021 | EMNLP | Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus. | Jesse Dodge, Maarten Sap, Ana Marasovic, William Agnew, Gabriel Ilharco, Dirk Groeneveld, Margaret Mitchell, Matt Gardner |
| 2021 | EMNLP | Learning with Instance Bundles for Reading Comprehension. | Dheeru Dua, Pradeep Dasigi, Sameer Singh, Matt Gardner |
| 2021 | EMNLP | Generative Context Pair Selection for Multi-hop Question Answering. | Dheeru Dua, Ccero Nogueira dos Santos, Patrick Ng, Ben Athiwaratkun, Bing Xiang, Matt Gardner, Sameer Singh |
| 2021 | EMNLP | Paired Examples as Indirect Supervision in Latent Decision Models. | Nitish Gupta, Sameer Singh, Matt Gardner, Dan Roth |
| 2021 | EMNLP | Mitigating False-Negative Contexts in Multi-document Question Answering with Retrieval Marginalization. | Ansong Ni, Matt Gardner, Pradeep Dasigi |
| 2021 | NAACL | A Dataset of Information-Seeking Questions and Answers Anchored in Research Papers. | Pradeep Dasigi, Kyle Lo, Iz Beltagy, Arman Cohan, Noah A. Smith, Matt Gardner |
| 2020 | ACL | Benefits of Intermediate Annotations in Reading Comprehension. | Dheeru Dua, Sameer Singh, Matt Gardner |
| 2020 | ACL | Dynamic Sampling Strategies for Multi-Task Reading Comprehension. | Ananth Gottumukkala, Dheeru Dua, Sameer Singh, Matt Gardner |
| 2020 | ACL | On Importance Sampling-Based Evaluation of Latent Language Models. | Robert L. Logan IV, Matt Gardner, Sameer Singh |
| 2020 | ACL | Obtaining Faithful Interpretations from Compositional Neural Networks. | Sanjay Subramanian, Ben Bogin, Nitish Gupta, Tomer Wolfson, Sameer Singh, Jonathan Berant, Matt Gardner |
| 2020 | EMNLP | Evaluating Models' Local Decision Boundaries via Contrast Sets. | 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 |
| 2020 | EMNLP | MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics. | Anthony Chen, Gabriel Stanovsky, Sameer Singh, Matt Gardner |
| 2020 | EMNLP | IIRC: A Dataset of Incomplete Information Reading Comprehension Questions. | James Ferguson, Matt Gardner, Hannaneh Hajishirzi, Tushar Khot, Pradeep Dasigi |
| 2020 | EMNLP | Multi-Step Inference for Reasoning Over Paragraphs. | Jiangming Liu, Matt Gardner, Shay B. Cohen, Mirella Lapata |
| 2020 | EMNLP | Easy, Reproducible and Quality-Controlled Data Collection with CROWDAQ. | Qiang Ning, Hao Wu, Pradeep Dasigi, Dheeru Dua, Matt Gardner, Robert L. Logan IV, Ana Marasovic, Zhen Nie |
| 2020 | EMNLP | TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions. | Qiang Ning, Hao Wu, Rujun Han, Nanyun Peng, Matt Gardner, Dan Roth |
| 2020 | EMNLP | Improving Compositional Generalization in Semantic Parsing. | Inbar Oren, Jonathan Herzig, Nitish Gupta, Matt Gardner, Jonathan Berant |
| 2020 | EMNLP | MedICaT: A Dataset of Medical Images, Captions, and Textual References. | Sanjay Subramanian, Lucy Lu Wang, Ben Bogin, Sachin Mehta, Madeleine van Zuylen, Sravanthi Parasa, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi |
| 2020 | EMNLP | Interpreting Predictions of NLP Models. | Eric Wallace, Matt Gardner, Sameer Singh |
| 2020 | EMNLP | Learning from Task Descriptions. | Orion Weller, Nicholas Lourie, Matt Gardner, Matthew E. Peters |
| 2020 | ICLR | Neural Module Networks for Reasoning over Text. | Nitish Gupta, Kevin Lin, Dan Roth, Sameer Singh, Matt Gardner |
| 2019 | AAAI | QUAREL: A Dataset and Models for Answering Questions about Qualitative Relationships. | Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-tau Yih, Ashish Sabharwal |
| 2019 | ACL | Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing. | Ben Bogin, Jonathan Berant, Matt Gardner |
| 2019 | ACL | Barack's Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling. | Robert L. Logan IV, Nelson F. Liu, Matthew E. Peters, Matt Gardner, Sameer Singh |
| 2019 | ACL | Compositional Questions Do Not Necessitate Multi-hop Reasoning. | Sewon Min, Eric Wallace, Sameer Singh, Matt Gardner, Hannaneh Hajishirzi, Luke Zettlemoyer |
| 2019 | EMNLP | Global Reasoning over Database Structures for Text-to-SQL Parsing. | Ben Bogin, Matt Gardner, Jonathan Berant |
| 2019 | EMNLP | Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning. | Pradeep Dasigi, Nelson F. Liu, Ana Marasovic, Noah A. Smith, Matt Gardner |
| 2019 | EMNLP | QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions. | Oyvind Tafjord, Matt Gardner, Kevin Lin, Peter Clark |
| 2019 | EMNLP | Universal Adversarial Triggers for Attacking and Analyzing NLP. | Eric Wallace, Shi Feng, Nikhil Kandpal, Matt Gardner, Sameer Singh |
| 2019 | EMNLP | AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models. | Eric Wallace, Jens Tuyls, Junlin Wang, Sanjay Subramanian, Matt Gardner, Sameer Singh |
| 2019 | EMNLP | Do NLP Models Know Numbers? Probing Numeracy in Embeddings. | Eric Wallace, Yizhong Wang, Sujian Li, Sameer Singh, Matt Gardner |
| 2019 | NAACL | Iterative Search for Weakly Supervised Semantic Parsing. | Pradeep Dasigi, Matt Gardner, Shikhar Murty, Luke Zettlemoyer, Eduard H. Hovy |
| 2019 | NAACL | DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs. | Dheeru Dua, Yizhong Wang, Pradeep Dasigi, Gabriel Stanovsky, Sameer Singh, Matt Gardner |
| 2019 | NAACL | Linguistic Knowledge and Transferability of Contextual Representations. | Nelson F. Liu, Matt Gardner, Yonatan Belinkov, Matthew E. Peters, Noah A. Smith |
| 2018 | ACL | Simple and Effective Multi-Paragraph Reading Comprehension. | Christopher Clark, Matt Gardner |
| 2018 | ACL | Neural Semantic Parsing. | Matt Gardner, Pradeep Dasigi, Srinivasan Iyer, Alane Suhr, Luke Zettlemoyer |
| 2018 | EMNLP | Structured Alignment Networks for Matching Sentences. | Yang Liu, Matt Gardner, Mirella Lapata |
| 2018 | NAACL | Deep Contextualized Word Representations. | Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, Luke Zettlemoyer |
| 2017 | AAAI | Open-Vocabulary Semantic Parsing with both Distributional Statistics and Formal Knowledge. | Matt Gardner, Jayant Krishnamurthy |
| 2017 | EMNLP | Neural Semantic Parsing with Type Constraints for Semi-Structured Tables. | Jayant Krishnamurthy, Pradeep Dasigi, Matt Gardner |
| 2015 | EMNLP | Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction. | Matt Gardner, Tom M. Mitchell |
| 2015 | EMNLP | Translation Invariant Word Embeddings. | Kejun Huang, Matt Gardner, Evangelos E. Papalexakis, Christos Faloutsos, Nikos D. Sidiropoulos, Tom M. Mitchell, Partha Pratim Talukdar, Xiao Fu |
| 2014 | EMNLP | Incorporating Vector Space Similarity in Random Walk Inference over Knowledge Bases. | Matt Gardner, Partha Pratim Talukdar, Jayant Krishnamurthy, Tom M. Mitchell |
| 2013 | EMNLP | Improving Learning and Inference in a Large Knowledge-Base using Latent Syntactic Cues. | Matt Gardner, Partha Pratim Talukdar, Bryan Kisiel, Tom M. Mitchell |