An exploration of topologies and communication in large particle swarms. - Andrew W. McNabb; Matthew Gardner 001; Kevin D. Seppi (IEEE Congress on Evolutionary Computation, 2009)

Speculative Evaluation in Particle Swarm Optimization. - Matthew Gardner 001; Andrew W. McNabb; Kevin D. Seppi (PPSN (2), 2010)

Adding Distributional Semantics to Knowledge Base Entities through Web-scale Entity Linking. - Matthew Gardner 001 (AKBC-WEKEX@NAACL-HLT, 2012)

A speculative approach to parallelization in particle swarm optimization. - Matthew Gardner 001; Andrew W. McNabb; Kevin D. Seppi (Swarm Intell., 2012)

Improving Learning and Inference in a Large Knowledge-Base using Latent Syntactic Cues. - Matt Gardner 001; Partha Pratim Talukdar; Bryan Kisiel; Tom M. Mitchell (EMNLP, 2013)

CMUML System for KBP 2013 Slot Filling. - Bryan Kisiel; Justin Betteridge; Matt Gardner 001; Jayant Krishnamurthy; Ndapa Nakashole; Mehdi Samadi; Partha Pratim Talukdar; Derry Wijaya; Tom M. Mitchell (TAC, 2013)

Incorporating Vector Space Similarity in Random Walk Inference over Knowledge Bases. - Matt Gardner 001; Partha Pratim Talukdar; Jayant Krishnamurthy; Tom M. Mitchell (EMNLP, 2014)

Never-Ending Learning. - Tom M. Mitchell; William W. Cohen; Estevam R. Hruschka Jr.; Partha Pratim Talukdar; Justin Betteridge; Andrew Carlson; Bhavana Dalvi Mishra; Matthew Gardner 001; Bryan Kisiel; Jayant Krishnamurthy; Ni Lao; Kathryn Mazaitis; et al. (AAAI, 2015)

Combining Vector Space Embeddings with Symbolic Logical Inference over Open-Domain Text. - Matt Gardner 001; Partha P. Talukdar; Tom Michael Mitchell (AAAI Spring Symposia, 2015)

Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction. - Matt Gardner 001; Tom M. Mitchell (EMNLP, 2015)

Translation Invariant Word Embeddings. - Kejun Huang; Matt Gardner 001; Evangelos E. Papalexakis; Christos Faloutsos; Nikos D. Sidiropoulos; Tom M. Mitchell; Partha Pratim Talukdar; Xiao Fu 001 (EMNLP, 2015)

CMUML System for KBP 2015 Cold Start Slot Filling. - Bryan Kisiel; Bill McDowell; Matt Gardner 001; Ndapandula Nakashole; Emmanouil A. Platanios; Abulhair Saparov; Shashank Srivastava; Derry Wijaya; Tom M. Mitchell (TAC, 2015)

Open-Vocabulary Semantic Parsing with both Distributional Statistics and Formal Knowledge. - Matt Gardner 001; Jayant Krishnamurthy (AAAI, 2017)

Crowdsourcing Multiple Choice Science Questions. - Johannes Welbl; Nelson F. Liu; Matt Gardner 001 (NUT@EMNLP, 2017)

Neural Semantic Parsing with Type Constraints for Semi-Structured Tables. - Jayant Krishnamurthy; Pradeep Dasigi; Matt Gardner 001 (EMNLP, 2017)

Simple and Effective Multi-Paragraph Reading Comprehension. - Christopher Clark; Matt Gardner 001 (ACL (1), 2018)

Neural Semantic Parsing. - Matt Gardner 001; Pradeep Dasigi; Srinivasan Iyer 001; Alane Suhr; Luke Zettlemoyer (ACL (5), 2018)

Structured Alignment Networks for Matching Sentences. - Yang Liu 124; Matt Gardner 001; Mirella Lapata (EMNLP, 2018)

Deep Contextualized Word Representations. - Matthew E. Peters; Mark Neumann; Mohit Iyyer; Matt Gardner 001; Christopher Clark; Kenton Lee; Luke Zettlemoyer (NAACL-HLT, 2018)

Never-ending learning. - Tom M. Mitchell; William W. Cohen; Estevam R. Hruschka Jr.; Partha P. Talukdar; Bo Yang 011; Justin Betteridge; Andrew Carlson; Bhavana Dalvi Mishra; Matt Gardner 001; Bryan Kisiel; Jayant Krishnamurthy; Ni Lao; et al. (Commun. ACM, 2018)

AllenNLP: A Deep Semantic Natural Language Processing Platform. - Matt Gardner 001; Joel Grus; Mark Neumann; Oyvind Tafjord; Pradeep Dasigi; Nelson F. Liu; Matthew E. Peters; Michael Schmitz 002; Luke Zettlemoyer (CoRR, 2018)

QUAREL: A Dataset and Models for Answering Questions about Qualitative Relationships. - Oyvind Tafjord; Peter Clark; Matt Gardner 001; Wen-tau Yih; Ashish Sabharwal (AAAI, 2019)

Evaluating Question Answering Evaluation. - Anthony Chen; Gabriel Stanovsky; Sameer Singh 001; Matt Gardner 001 (MRQA@EMNLP, 2019)

Comprehensive Multi-Dataset Evaluation of Reading Comprehension. - Dheeru Dua; Ananth Gottumukkala; Alon Talmor; Sameer Singh 001; Matt Gardner 001 (MRQA@EMNLP, 2019)

On Making Reading Comprehension More Comprehensive. - Matt Gardner 001; Jonathan Berant; Hannaneh Hajishirzi; Alon Talmor; Sewon Min (MRQA@EMNLP, 2019)

Reasoning Over Paragraph Effects in Situations. - Kevin Lin; Oyvind Tafjord; Peter Clark; Matt Gardner 001 (MRQA@EMNLP, 2019)

Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing. - Ben Bogin; Jonathan Berant; Matt Gardner 001 (ACL (1), 2019)

Barack's Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling. - Robert L. Logan IV; Nelson F. Liu; Matthew E. Peters; Matt Gardner 001; Sameer Singh 001 (ACL (1), 2019)

Compositional Questions Do Not Necessitate Multi-hop Reasoning. - Sewon Min; Eric Wallace; Sameer Singh 001; Matt Gardner 001; Hannaneh Hajishirzi; Luke Zettlemoyer (ACL (1), 2019)

Global Reasoning over Database Structures for Text-to-SQL Parsing. - Ben Bogin; Matt Gardner 001; Jonathan Berant (EMNLP/IJCNLP (1), 2019)

Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning. - Pradeep Dasigi; Nelson F. Liu; Ana Marasovic; Noah A. Smith; Matt Gardner 001 (EMNLP/IJCNLP (1), 2019)

QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions. - Oyvind Tafjord; Matt Gardner 001; Kevin Lin; Peter Clark (EMNLP/IJCNLP (1), 2019)

Universal Adversarial Triggers for Attacking and Analyzing NLP. - Eric Wallace; Shi Feng 005; Nikhil Kandpal; Matt Gardner 001; Sameer Singh 001 (EMNLP/IJCNLP (1), 2019)

AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models. - Eric Wallace; Jens Tuyls; Junlin Wang; Sanjay Subramanian; Matt Gardner 001; Sameer Singh 001 (EMNLP/IJCNLP (3), 2019)

Do NLP Models Know Numbers? Probing Numeracy in Embeddings. - Eric Wallace; Yizhong Wang; Sujian Li; Sameer Singh 001; Matt Gardner 001 (EMNLP/IJCNLP (1), 2019)

Iterative Search for Weakly Supervised Semantic Parsing. - Pradeep Dasigi; Matt Gardner 001; Shikhar Murty; Luke Zettlemoyer; Eduard H. Hovy (NAACL-HLT (1), 2019)

DROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs. - Dheeru Dua; Yizhong Wang; Pradeep Dasigi; Gabriel Stanovsky; Sameer Singh 001; Matt Gardner 001 (NAACL-HLT (1), 2019)

Linguistic Knowledge and Transferability of Contextual Representations. - Nelson F. Liu; Matt Gardner 001; Yonatan Belinkov; Matthew E. Peters; Noah A. Smith (NAACL-HLT (1), 2019)

Analyzing Compositionality in Visual Question Answering. - Sanjay Subramanian; Sameer Singh 001; Matt Gardner 001 (ViGIL@NeurIPS, 2019)

Grammar-based Neural Text-to-SQL Generation. - Kevin Lin; Ben Bogin; Mark Neumann; Jonathan Berant; Matt Gardner 001 (CoRR, 2019)

Universal Adversarial Triggers for NLP. - Eric Wallace; Shi Feng 005; Nikhil Kandpal; Matt Gardner 001; Sameer Singh 001 (CoRR, 2019)

Question Answering is a Format; When is it Useful? - Matt Gardner 001; Jonathan Berant; Hannaneh Hajishirzi; Alon Talmor; Sewon Min (CoRR, 2019)

ORB: An Open Reading Benchmark for Comprehensive Evaluation of Machine Reading Comprehension. - Dheeru Dua; Ananth Gottumukkala; Alon Talmor; Sameer Singh 001; Matt Gardner 001 (CoRR, 2019)

Benefits of Intermediate Annotations in Reading Comprehension. - Dheeru Dua; Sameer Singh 001; Matt Gardner 001 (ACL, 2020)

Dynamic Sampling Strategies for Multi-Task Reading Comprehension. - Ananth Gottumukkala; Dheeru Dua; Sameer Singh 001; Matt Gardner 001 (ACL, 2020)

On Importance Sampling-Based Evaluation of Latent Language Models. - Robert L. Logan IV; Matt Gardner 001; Sameer Singh 001 (ACL, 2020)

Obtaining Faithful Interpretations from Compositional Neural Networks. - Sanjay Subramanian; Ben Bogin; Nitish Gupta; Tomer Wolfson; Sameer Singh 001; Jonathan Berant; Matt Gardner 001 (ACL, 2020)

Evaluating Models' Local Decision Boundaries via Contrast Sets. - Matt Gardner 001; Yoav Artzi; Victoria Basmova; Jonathan Berant; Ben Bogin; Sihao Chen; Pradeep Dasigi; Dheeru Dua; Yanai Elazar; Ananth Gottumukkala; Nitish Gupta; Hannaneh Hajishirzi; et al. (EMNLP (Findings), 2020)

MOCHA: A Dataset for Training and Evaluating Generative Reading Comprehension Metrics. - Anthony Chen; Gabriel Stanovsky; Sameer Singh 001; Matt Gardner 001 (EMNLP (1), 2020)

IIRC: A Dataset of Incomplete Information Reading Comprehension Questions. - James Ferguson; Matt Gardner 001; Hannaneh Hajishirzi; Tushar Khot; Pradeep Dasigi (EMNLP (1), 2020)

Multi-Step Inference for Reasoning Over Paragraphs. - Jiangming Liu; Matt Gardner 001; Shay B. Cohen; Mirella Lapata (EMNLP (1), 2020)

Easy, Reproducible and Quality-Controlled Data Collection with CROWDAQ. - Qiang Ning; Hao Wu 034; Pradeep Dasigi; Dheeru Dua; Matt Gardner 001; Robert L. Logan IV; Ana Marasovic; Zhen Nie (EMNLP (Demos), 2020)

TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions. - Qiang Ning; Hao Wu 034; Rujun Han; Nanyun Peng 001; Matt Gardner 001; Dan Roth 001 (EMNLP (1), 2020)

Improving Compositional Generalization in Semantic Parsing. - Inbar Oren; Jonathan Herzig; Nitish Gupta; Matt Gardner 001; Jonathan Berant (EMNLP (Findings), 2020)

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 001; Matt Gardner 001; Hannaneh Hajishirzi (EMNLP (Findings), 2020)

Interpreting Predictions of NLP Models. - Eric Wallace; Matt Gardner 001; Sameer Singh 001 (EMNLP (Tutorial Abstracts), 2020)

Learning from Task Descriptions. - Orion Weller; Nicholas Lourie; Matt Gardner 001; Matthew E. Peters (EMNLP (1), 2020)

Neural Module Networks for Reasoning over Text. - Nitish Gupta; Kevin Lin; Dan Roth 001; Sameer Singh 001; Matt Gardner 001 (ICLR, 2020)

Evaluating NLP Models via Contrast Sets. - Matt Gardner 001; Yoav Artzi; Victoria Basmova; Jonathan Berant; Ben Bogin; Sihao Chen; Pradeep Dasigi; Dheeru Dua; Yanai Elazar; Ananth Gottumukkala; Nitish Gupta; Hanna Hajishirzi; et al. (CoRR, 2020)

Multi-Step Inference for Reasoning Over Paragraphs. - Jiangming Liu; Matt Gardner 001 (CoRR, 2020)

Understanding Mention Detector-Linker Interaction for Neural Coreference Resolution. - Zhaofeng Wu; Matt Gardner 001 (CoRR, 2020)

Break It Down: A Question Understanding Benchmark. - Tomer Wolfson; Mor Geva; Ankit Gupta 001; Yoav Goldberg; Matt Gardner 001; Daniel Deutch; Jonathan Berant (Trans. Assoc. Comput. Linguistics, 2020)

Enforcing Consistency in Weakly Supervised Semantic Parsing. - Nitish Gupta; Sameer Singh 001; Matt Gardner 001 (ACL/IJCNLP (2), 2021)

Competency Problems: On Finding and Removing Artifacts in Language Data. - Matt Gardner 001; William Merrill; Jesse Dodge; Matthew E. Peters; Alexis Ross; Sameer Singh 001; Noah A. Smith (EMNLP (1), 2021)

COVR: A Test-Bed for Visually Grounded Compositional Generalization with Real Images. - Ben Bogin; Shivanshu Gupta; Matt Gardner 001; Jonathan Berant (EMNLP (1), 2021)

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 001 (EMNLP (1), 2021)

Learning with Instance Bundles for Reading Comprehension. - Dheeru Dua; Pradeep Dasigi; Sameer Singh 001; Matt Gardner 001 (EMNLP (1), 2021)

Generative Context Pair Selection for Multi-hop Question Answering. - Dheeru Dua; Cícero Nogueira dos Santos; Patrick Ng; Ben Athiwaratkun; Bing Xiang; Matt Gardner 001; Sameer Singh 001 (EMNLP (1), 2021)

Paired Examples as Indirect Supervision in Latent Decision Models. - Nitish Gupta; Sameer Singh 001; Matt Gardner 001; Dan Roth 001 (EMNLP (1), 2021)

Mitigating False-Negative Contexts in Multi-document Question Answering with Retrieval Marginalization. - Ansong Ni; Matt Gardner 001; Pradeep Dasigi (EMNLP (1), 2021)

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 001 (NAACL-HLT, 2021)

Mitigating False-Negative Contexts in Multi-document QuestionAnswering with Retrieval Marginalization. - Ansong Ni; Matt Gardner 001; Pradeep Dasigi (CoRR, 2021)

Documenting the English Colossal Clean Crawled Corpus. - Jesse Dodge; Maarten Sap; Ana Marasovic; William Agnew; Gabriel Ilharco; Dirk Groeneveld; Matt Gardner 001 (CoRR, 2021)

Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering. - Ben Bogin; Sanjay Subramanian; Matt Gardner 001; Jonathan Berant (Trans. Assoc. Comput. Linguistics, 2021)

A Meta-framework for Spatiotemporal Quantity Extraction from Text. - Qiang Ning; Ben Zhou; Hao Wu 034; Haoruo Peng; Chuchu Fan; Matt Gardner 001 (ACL (1), 2022)

Tailor: Generating and Perturbing Text with Semantic Controls. - Alexis Ross; Tongshuang Wu; Hao Peng 009; Matthew E. Peters; Matt Gardner 001 (ACL (1), 2022)

ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension. - Sanjay Subramanian; William Merrill; Trevor Darrell; Matt Gardner 001; Sameer Singh 001; Anna Rohrbach (ACL (1), 2022)

When to Use Multi-Task Learning vs Intermediate Fine-Tuning for Pre-Trained Encoder Transfer Learning. - Orion Weller; Kevin D. Seppi; Matt Gardner 001 (ACL (2), 2022)

Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets. - Yuxiang Wu; Matt Gardner 001; Pontus Stenetorp; Pradeep Dasigi (ACL (1), 2022)

Successive Prompting for Decomposing Complex Questions. - Dheeru Dua; Shivanshu Gupta; Sameer Singh 001; Matt Gardner 001 (EMNLP, 2022)

Structurally Diverse Sampling for Sample-Efficient Training and Comprehensive Evaluation. - Shivanshu Gupta; Sameer Singh 001; Matt Gardner 001 (EMNLP (Findings), 2022)

CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation. - Abhilasha Ravichander; Matt Gardner 001; Ana Marasovic (EMNLP, 2022)

Impact of Pretraining Term Frequencies on Few-Shot Numerical Reasoning. - Yasaman Razeghi; Robert L. Logan IV; Matt Gardner 001; Sameer Singh 001 (EMNLP (Findings), 2022)

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 001; Sameer Singh 001 (EMNLP (Demos), 2022)

Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks. - Akari Asai; Matt Gardner 001; Hannaneh Hajishirzi (NAACL-HLT, 2022)

Impact of Pretraining Term Frequencies on Few-Shot Reasoning. - Yasaman Razeghi; Robert L. Logan IV; Matt Gardner 001; Sameer Singh 001 (CoRR, 2022)

Structurally Diverse Sampling Reduces Spurious Correlations in Semantic Parsing Datasets. - Shivanshu Gupta; Sameer Singh 001; Matt Gardner 001 (CoRR, 2022)

Reading and Reasoning with Knowledge Graphs - Matthew Gardner 001 (2022)

Coverage-based Example Selection for In-Context Learning. - Shivanshu Gupta; Matt Gardner 001; Sameer Singh 001 (EMNLP (Findings), 2023)

QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering and Reading Comprehension. - Anna Rogers; Matt Gardner 001; Isabelle Augenstein (ACM Comput. Surv., 2023)