Vietnamese Elementary Math Reasoning Using Large Language Model with Refined Translation and Dense-Retrieved Chain-of-Thought
State-of-the-art large language models (LLMs) have succeeded in various tasks but still
show limitations in solving math reasoning problems. Although this problem is actively …
show limitations in solving math reasoning problems. Although this problem is actively …
Learning Rate Decay Scheduler Using the Loss Operator as Generalization
W An, J Zhang, J Liu, K Shao, K Bian… - 2024 IEEE 5th …, 2024 - ieeexplore.ieee.org
Learning rate decay scheduler is the commonly used method in training Deep Neural
Networks. Traditional learning rate decay scheduler adjusts the learning rate of decrease …
Networks. Traditional learning rate decay scheduler adjusts the learning rate of decrease …
[PDF][PDF] Revolutionizing Math Education: How Advanced Question Generation Streamlines Educator Workflows
Y Yu, A Krantz, NG Lobczowski - 2024 - easychair.org
Some educators have started to turn to Generative AI (GenAI) to help create new course
content, but little is known about how they should do so. In this project, we investigated the …
content, but little is known about how they should do so. In this project, we investigated the …
KERE: A General Reasoning Engine for Complex Problem Solving
H Cao, Y Chen - 2024 5th International Conference on …, 2024 - ieeexplore.ieee.org
Reasoning ability is a critical aspect of human intelligence and a focal point in artificial
intelligence research. Currently, both data-driven and knowledge-driven methods face …
intelligence research. Currently, both data-driven and knowledge-driven methods face …