Enhancing Chain-of-Thought Prompting with Explainable AI: Improving Transparency and Accuracy in LLM Reasoning
dc.rights.license | CC-BY-NC-ND | |
dc.contributor.advisor | Giachanou, Anastasia | |
dc.contributor.author | Jouhar, Mo | |
dc.date.accessioned | 2025-08-21T23:00:52Z | |
dc.date.available | 2025-08-21T23:00:52Z | |
dc.date.issued | 2025 | |
dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/49954 | |
dc.description.sponsorship | Utrecht University | |
dc.language.iso | EN | |
dc.subject | Enhancing Chain-of-Thought Prompting with Explainable AI: Improving Transparency and Accuracy in LLM Reasoning | |
dc.title | Enhancing Chain-of-Thought Prompting with Explainable AI: Improving Transparency and Accuracy in LLM Reasoning | |
dc.type.content | Master Thesis | |
dc.rights.accessrights | Open Access | |
dc.subject.courseuu | Applied Data Science | |
dc.thesis.id | 52268 |