Search Results for author:
Found 9 papers, 5 papers with code
Assessing the Promise and Pitfalls of ChatGPT for Automated Code Generation
A novel dataset of 131 code-generation prompts across 5 categories was curated to enable robust analysis.
Enhancing the Performance of Automated Grade Prediction in MOOC using Graph Representation Learning
However, current automated assessment approaches overlook the structural links between different entities involved in the downstream tasks, such as the students and courses.
SentimentGPT: Exploiting GPT for Advanced Sentiment Analysis and its Departure from Current Machine Learning
This study presents a thorough examination of various Generative Pretrained Transformer (GPT) methodologies in sentiment analysis, specifically in the context of Task 4 on the SemEval 2017 dataset.
A Cooperative Game Approach for Energy Management of Interconnected Microgrids
In the proposed model, microgrids are scheduled to achieve a global optimum for the cost of the multi-microgrid system.
The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification
The results show that the text classification models trained under our proposed framework outperform traditional models significantly in terms of fairness, and also slightly in terms of classification performance.
Characterizing the Decision Boundary of Deep Neural Networks
In this regard, one crucial aspect of deep neural network classifiers that can help us deepen our knowledge about their decision-making behavior is to investigate their decision boundaries.
Deep Adversarial Network Alignment
Network alignment, in general, seeks to discover the hidden underlying correspondence between nodes across two (or more) networks when given their network structure.
Learning Hierarchical Discourse-level Structure for Fake News Detection
Incorporating hierarchical discourse-level structure of fake and real news articles is one crucial step toward a better understanding of how these articles are structured.
Multi-Source Multi-Class Fake News Detection
Fake news spreading through media outlets poses a real threat to the trustworthiness of information and detecting fake news has attracted increasing attention in recent years.
