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Exploring Self-Reinforcement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models.

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Contrastive Learning with Logic-driven Data Augmentation for Logical Reasoning over Text., , , , , , , , , and . CoRR, (2023)Multi2Claim: Generating Scientific Claims from Multi-Choice Questions for Scientific Fact-Checking., , , , , , , and . EACL, page 2644-2656. Association for Computational Linguistics, (2023)Investigating the effect of novel classes in semi-supervised learning., , , and . ACML, volume 101 of Proceedings of Machine Learning Research, page 615-630. PMLR, (2019)Can Large Language Models Learn Independent Causal Mechanisms?, , , , and . CoRR, (2024)A Dynamic Prompt-tuning Method for Data Augmentation with Associated Knowledge., , , , and . Tiny Papers @ ICLR, OpenReview.net, (2023)mHUIMiner: A Fast High Utility Itemset Mining Algorithm for Sparse Datasets., , and . PAKDD (2), volume 10235 of Lecture Notes in Computer Science, page 196-207. (2017)Exploring Self-Reinforcement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models., , , , , , , , and . CoRR, (2023)Multi-Step Deductive Reasoning Over Natural Language: An Empirical Study on Out-of-Distribution Generalisation., , , , , , and . NeSy, volume 3212 of CEUR Workshop Proceedings, page 202-217. CEUR-WS.org, (2022)Using Supervised Pretraining to Improve Generalization of Neural Networks on Binary Classification Problems., , , and . ECML/PKDD (1), volume 11051 of Lecture Notes in Computer Science, page 410-425. Springer, (2018)A Systematic Evaluation of Large Language Models on Out-of-Distribution Logical Reasoning Tasks., , , , , , , and . CoRR, (2023)