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Found 4 papers, 1 papers with code
Generative AI-Based Text Generation Methods Using Pre-Trained GPT-2 Model
This work delved into the realm of automatic text generation, exploring a variety of techniques ranging from traditional deterministic approaches to more modern stochastic methods.
Automating Human Tutor-Style Programming Feedback: Leveraging GPT-4 Tutor Model for Hint Generation and GPT-3.5 Student Model for Hint Validation
We investigate the role of generative AI models in providing human tutor-style programming hints to help students resolve errors in their buggy programs.
Reimagining GNN Explanations with ideas from Tabular Data
Explainability techniques for Graph Neural Networks still have a long way to go compared to explanations available for both neural and decision decision tree-based models trained on tabular data.
Adversarial Adaptation of Scene Graph Models for Understanding Civic Issues
Through a user study with 13 citizens and 3 authorities, we found that image is the most preferred medium to report civic issues.
