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cs.CL2024
Gap-Filling Prompting Enhances Code-Assisted Mathematical Reasoning
Mohammad Ghiasvand Mohammadkhani
Despite the strong performance of large language models (LLMs) in tasks like mathematical reasoning, their practical use is limited by high computational demands and proprietary re…
cs.CL2024
Zero-Shot Learning and Key Points Are All You Need for Automated Fact-Checking
Mohammad Ghiasvand Mohammadkhani, Ali Ghiasvand Mohammadkhani, Hamid Beigy
Automated fact-checking is an important task because determining the accurate status of a proposed claim within the vast amount of information available online is a critical challe…
cs.CL2024
E2TP: Element to Tuple Prompting Improves Aspect Sentiment Tuple Prediction
Mohammad Ghiasvand Mohammadkhani, Niloofar Ranjbar, Saeedeh Momtazi
Generative approaches have significantly influenced Aspect-Based Sentiment Analysis (ABSA), garnering considerable attention. However, existing studies often predict target text co…