Abstract: Our research focuses on the intersection of artificial intelligence (AI) and software development, particularly the role of AI models in automating code generation. With advancements in ...
Powered by our Opposite-Score embeddings and three rigorously curated datasets (Debate ︎ Defeasible NLI ︎ Causal Reasoning). Efficient embeddings and scoring mechanism for detecting contrasting or ...
Abstract: The increasing demand for programming education and growing class sizes require immediate and personalized feedback. However, integrating Large Language Models (LLMs) like ChatGPT in ...
This project implements a CVaR-minimizing portfolio optimization model based on the seminal paper "Optimization of Conditional Value-at-Risk" by Rockafellar and Uryasev (2000). The analysis uses ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results