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09/19/2023
Exploring Self-Reinforcement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models
Learnersourcing involves students generating and sharing learning resour...
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05/31/2023
Large Language Models Are Not Abstract Reasoners
Large Language Models have shown tremendous performance on a large varie...
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05/21/2023
Contrastive Learning with Logic-driven Data Augmentation for Logical Reasoning over Text
Pre-trained large language model (LLM) is under exploration to perform N...
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03/14/2023
Input-length-shortening and text generation via attention values
Identifying words that impact a task's performance more than others is a...
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07/28/2022
Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study on Out-of-Distribution Generalisation
Combining deep learning with symbolic logic reasoning aims to capitalize...
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03/23/2022
AbductionRules: Training Transformers to Explain Unexpected Inputs
Transformers have recently been shown to be capable of reliably performi...
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11/19/2021
DeepQR: Neural-based Quality Ratings for Learnersourced Multiple-Choice Questions
Automated question quality rating (AQQR) aims to evaluate question quali...
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02/08/2020
