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Found 6 papers, 3 papers with code
Book2Dial: Generating Teacher-Student Interactions from Textbooks for Cost-Effective Development of Educational Chatbots
Educational chatbots are a promising tool for assisting student learning.
Scaling the Authoring of AutoTutors with Large Language Models
Large Language Models (LLMs) have found several use cases in education, ranging from automatic question generation to essay evaluation.
MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems
While automatic dialogue tutors hold great potential in making education personalized and more accessible, research on such systems has been hampered by a lack of sufficiently large and high-quality datasets.
On Learning the Transformer Kernel
In this work we introduce KERNELIZED TRANSFORMER, a generic, scalable, data driven framework for learning the kernel function in Transformers.
MaskAAE: Latent space optimization for Adversarial Auto-Encoders
The field of neural generative models is dominated by the highly successful Generative Adversarial Networks (GANs) despite their challenges, such as training instability and mode collapse.
DeepSearch: A Simple and Effective Blackbox Attack for Deep Neural Networks
Although deep neural networks have been very successful in image-classification tasks, they are prone to adversarial attacks.
