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20172022
most citedDROP: A Reading Comprehension Benchmark Requiring Discrete Reasoning Over Paragraphs

96 citations · 308 across the 20 of their papers we have counts for

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41 papers · 1 filter

cs.CL20227 cited

Successive Prompting for Decomposing Complex Questions

Dheeru Dua, Shivanshu Gupta, Sameer Singh +1

Answering complex questions that require making latent decisions is a challenging task, especially when limited supervision is available. Recent works leverage the capabilities of…

cs.CL20222 cited

CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation

Abhilasha Ravichander, Matt Gardner, Ana Marasović

The full power of human language-based communication cannot be realized without negation. All human languages have some form of negation. Despite this, negation remains a challengi…

cs.CL2022

When to Use Multi-Task Learning vs Intermediate Fine-Tuning for Pre-Trained Encoder Transfer Learning

Orion Weller, Kevin Seppi, Matt Gardner

Transfer learning (TL) in natural language processing (NLP) has seen a surge of interest in recent years, as pre-trained models have shown an impressive ability to transfer to nove…

cs.CL20222 cited

Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets

Yuxiang Wu, Matt Gardner, Pontus Stenetorp +1

Natural language processing models often exploit spurious correlations between task-independent features and labels in datasets to perform well only within the distributions they a…

cs.CL2021

COVR: A test-bed for Visually Grounded Compositional Generalization with real images

Ben Bogin, Shivanshu Gupta, Matt Gardner +1

While interest in models that generalize at test time to new compositions has risen in recent years, benchmarks in the visually-grounded domain have thus far been restricted to syn…

cs.CL2021

Enforcing Consistency in Weakly Supervised Semantic Parsing

Nitish Gupta, Sameer Singh, Matt Gardner

The predominant challenge in weakly supervised semantic parsing is that of spurious programs that evaluate to correct answers for the wrong reasons. Prior work uses elaborate searc…