GPT-4 Turbo achieved excellent proficiency when answering structural-based questions. It also showed commendable perfor- mance when answering generation-based questions, effectively creating EA elements, particularly various types of defeaters.
Jan 31, 2024
Jan 31, 2024 · The findings indicate that GPT-4 Turbo excels in EA notation and is capable of generating various types of defeaters.
Jun 12, 2024 · We propose a novel approach that explores the potential of GPT-4 Turbo, an advanced Large Language Model (LLM) developed by OpenAI, in identifying defeaters ...
In this paper, we focus on the identification of defeaters. Thus, we rely on GPT-4 Turbo, a Large Language Model developed by OpenAI, to automate the generation ...
Missing: Creating | Show results with:Creating
May 14, 2024 · GPT-4 Turbo struggles more in these tasks. Latency: GPT-4o has lower latency, making it faster in response time compared to GPT-4 Turbo.
Missing: Defeaters Assurance
Jun 15, 2024 · Our preliminary evaluation assesses the model's ability to comprehend and generate arguments in this context and the results show that GPT-4 ...
Missing: Effectiveness | Show results with:Effectiveness
Our preliminary evaluation assesses the model's ability to comprehend and generate arguments in this context and the results show that GPT-4 turbo is very ...
Missing: Effectiveness | Show results with:Effectiveness
Jul 20, 2024 · Our systematic mapping study reports a taxonomy (map) that provides a uniform categorization of assurance weakeners and approaches proposed to manage them.
the assessment of the impact of GPT-4 Turbo in generating defeaters for assurance cases. Our preliminary evaluation assesses the model's ability to comprehend ...
Assessing the Impact of GPT-4 Turbo in Generating Defeaters for Assurance Cases. K Khakzad Shahandashti, M Sivakumar, MM Mohajer, A Boaye Belle ...