[HTML][HTML] The effects of artificial intelligence applications in educational settings: Challenges and strategies

O Ali, PA Murray, M Momin, YK Dwivedi… - … Forecasting and Social …, 2024 - Elsevier
With the continuous intervention of AI tools in the education sector, new research is required
to evaluate the viability and feasibility of extant AI platforms to inform various pedagogical …

Self-supervised learning for time series analysis: Taxonomy, progress, and prospects

K Zhang, Q Wen, C Zhang, R Cai, M **… - IEEE transactions on …, 2024 - ieeexplore.ieee.org
Self-supervised learning (SSL) has recently achieved impressive performance on various
time series tasks. The most prominent advantage of SSL is that it reduces the dependence …

Generative language models and automated influence operations: Emerging threats and potential mitigations

JA Goldstein, G Sastry, M Musser, R DiResta… - arxiv preprint arxiv …, 2023 - arxiv.org
Generative language models have improved drastically, and can now produce realistic text
outputs that are difficult to distinguish from human-written content. For malicious actors …

Integration of artificial intelligence performance prediction and learning analytics to improve student learning in online engineering course

F Ouyang, M Wu, L Zheng, L Zhang, P Jiao - International Journal of …, 2023 - Springer
As a cutting-edge field of artificial intelligence in education (AIEd) that depends on advanced
computing technologies, AI performance prediction model is widely used to identify at-risk …

Artificial intelligence in healthcare: complementing, not replacing, doctors and healthcare providers

E Sezgin - Digital health, 2023 - journals.sagepub.com
The utilization of artificial intelligence (AI) in clinical practice has increased and is evidently
contributing to improved diagnostic accuracy, optimized treatment planning, and improved …

Towards a science of human-AI decision making: An overview of design space in empirical human-subject studies

V Lai, C Chen, A Smith-Renner, QV Liao… - Proceedings of the 2023 …, 2023 - dl.acm.org
AI systems are adopted in numerous domains due to their increasingly strong predictive
performance. However, in high-stakes domains such as criminal justice and healthcare, full …

A survey of deep learning for mathematical reasoning

P Lu, L Qiu, W Yu, S Welleck, KW Chang - arxiv preprint arxiv:2212.10535, 2022 - arxiv.org
Mathematical reasoning is a fundamental aspect of human intelligence and is applicable in
various fields, including science, engineering, finance, and everyday life. The development …

Towards a science of human-ai decision making: a survey of empirical studies

V Lai, C Chen, QV Liao, A Smith-Renner… - arxiv preprint arxiv …, 2021 - arxiv.org
As AI systems demonstrate increasingly strong predictive performance, their adoption has
grown in numerous domains. However, in high-stakes domains such as criminal justice and …

[PDF][PDF] A survey of reinforcement learning from human feedback

T Kaufmann, P Weng, V Bengs… - arxiv preprint arxiv …, 2023 - researchgate.net
Reinforcement learning from human feedback (RLHF) is a variant of reinforcement learning
(RL) that learns from human feedback instead of relying on an engineered reward function …

Continual learning of large language models: A comprehensive survey

H Shi, Z Xu, H Wang, W Qin, W Wang, Y Wang… - arxiv preprint arxiv …, 2024 - arxiv.org
The recent success of large language models (LLMs) trained on static, pre-collected,
general datasets has sparked numerous research directions and applications. One such …