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07/07/2023
MultiQG-TI: Towards Question Generation from Multi-modal Sources
We study the new problem of automatic question generation (QG) from mult...
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06/15/2023
Improving Reading Comprehension Question Generation with Data Augmentation and Overgenerate-and-rank
Reading comprehension is a crucial skill in many aspects of education, i...
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06/01/2023
Interpretable Math Word Problem Solution Generation Via Step-by-step Planning
Solutions to math word problems (MWPs) with step-by-step explanations ar...
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12/19/2022
MANER: Mask Augmented Named Entity Recognition for Extreme Low-Resource Languages
This paper investigates the problem of Named Entity Recognition (NER) fo...
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08/23/2022
Retrieval-based Controllable Molecule Generation
Generating new molecules with specified chemical and biological properti...
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05/19/2022
Automated Scoring for Reading Comprehension via In-context BERT Tuning
Automated scoring of open-ended student responses has the potential to s...
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02/21/2022
Open-Ended Knowledge Tracing
Knowledge tracing refers to the problem of estimating each student's kno...
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09/09/2021
Math Word Problem Generation with Mathematical Consistency and Problem Context Constraints
We study the problem of generating arithmetic math word problems (MWPs) ...
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04/25/2021
Math Operation Embeddings for Open-ended Solution Analysis and Feedback
Feedback on student answers and even during intermediate steps in their ...
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12/09/2020
Scalable Neural Tangent Kernel of Recurrent Architectures
Kernels derived from deep neural networks (DNNs) in the infinite-width p...
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10/27/2020
Wearing a MASK: Compressed Representations of Variable-Length Sequences Using Recurrent Neural Tangent Kernels
High dimensionality poses many challenges to the use of data, from visua...
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07/23/2020
Diagnostic Questions:The NeurIPS 2020 Education Challenge
Digital technologies are becoming increasingly prevalent in education, e...
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06/18/2020
The Recurrent Neural Tangent Kernel
The study of deep networks (DNs) in the infinite-width limit, via the so...
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06/12/2020
LaRVAE: Label Replacement VAE for Semi-Supervised Disentanglement Learning
Learning interpretable and disentangled representations is a crucial yet...
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05/27/2020
VarFA: A Variational Factor Analysis Framework For Efficient Bayesian Learning Analytics
We propose VarFA, a variational inference factor analysis framework that...
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03/12/2020
