5 papers
Structure Matters: Evaluating Multi-Agents Orchestration in Generative Therapeutic Chatbots
Sina Elahimanesh, Mohammadali Mohammadkhani, Sara Zahedi Movahed +3
While large language models (LLMs) excel at open-ended dialogue, effective psychotherapy requires structured progression and adherence to clinical protocols, making the design of p…
Checklist Engineering Empowers Multilingual LLM Judges
Mohammad Ghiasvand Mohammadkhani, Hamid Beigy
Automated text evaluation has long been a central issue in Natural Language Processing (NLP). Recently, the field has shifted toward using Large Language Models (LLMs) as evaluator…
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…
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…
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…