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03/06/2023
Towards Zero-Shot Functional Compositionality of Language Models
Large Pre-trained Language Models (PLM) have become the most desirable s...
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11/21/2022
Evaluating the Knowledge Dependency of Questions
The automatic generation of Multiple Choice Questions (MCQ) has the pote...
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03/03/2022
Dialogue Summaries as Dialogue States (DS2), Template-Guided Summarization for Few-shot Dialogue State Tracking
Annotating task-oriented dialogues is notorious for the expensive and di...
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06/28/2021
Knowledge Transfer by Discriminative Pre-training for Academic Performance Prediction
The needs for precisely estimating a student's academic performance have...
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10/19/2020
SAINT+: Integrating Temporal Features for EdNet Correctness Prediction
We propose SAINT+, a successor of SAINT which is a Transformer based kno...
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06/12/2020
On Correctness of Automatic Differentiation for Non-Differentiable Functions
Differentiation lies at the core of many machine-learning algorithms, an...
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07/20/2019
Towards Verified Stochastic Variational Inference for Probabilistic Programs
Probabilistic programming is the idea of writing models from statistics ...
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06/01/2018
