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08/21/2023
Can Language Models Learn to Listen?
We present a framework for generating appropriate facial responses from ...
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06/08/2023
Modular Visual Question Answering via Code Generation
We present a framework that formulates visual question answering as modu...
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04/12/2022
ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension
Training a referring expression comprehension (ReC) model for a new visu...
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10/12/2020
MedICaT: A Dataset of Medical Images, Captions, and Textual References
Understanding the relationship between figures and text is key to scient...
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07/01/2020
Latent Compositional Representations Improve Systematic Generalization in Grounded Question Answering
Answering questions that involve multi-step reasoning requires decomposi...
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05/02/2020
Obtaining Faithful Interpretations from Compositional Neural Networks
Neural module networks (NMNs) are a popular approach for modeling compos...
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04/06/2020
Evaluating NLP Models via Contrast Sets
Standard test sets for supervised learning evaluate in-distribution gene...
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09/19/2019
AllenNLP Interpret: A Framework for Explaining Predictions of NLP Models
Neural NLP models are increasingly accurate but are imperfect and opaque...
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09/01/2019
An Improved Neural Baseline for Temporal Relation Extraction
Determining temporal relations (e.g., before or after) between events ha...
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08/14/2019
Correlation Clustering with Same-Cluster Queries Bounded by Optimal Cost
Several clustering frameworks with interactive (semi-supervised) queries...
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08/13/2019
Improving Generalization in Coreference Resolution via Adversarial Training
In order for coreference resolution systems to be useful in practice, th...
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10/26/2018