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Automated Clinical Report Generation for Remote Cognitive Remediation: Comparing Knowledge-Engineered Templates and LLMs in Low-Resource Settings
Yongxin Zhou, Fabien Ringeval, François Portet
The growing demand for cognitive remediation therapy, combined with limited speech therapist availability, has accelerated the adoption of remote rehabilitation tools. These system…
Can GPT models Follow Human Summarization Guidelines? A Study for Targeted Communication Goals
Yongxin Zhou, Fabien Ringeval, François Portet
This study investigates the ability of GPT models (ChatGPT, GPT-4 and GPT-4o) to generate dialogue summaries that adhere to human guidelines. Our evaluation involved experimenting…
PSentScore: Evaluating Sentiment Polarity in Dialogue Summarization
Yongxin Zhou, Fabien Ringeval, François Portet
Automatic dialogue summarization is a well-established task with the goal of distilling the most crucial information from human conversations into concise textual summaries. Howeve…
Effectiveness of French Language Models on Abstractive Dialogue Summarization Task
Yongxin Zhou, François Portet, Fabien Ringeval
Pre-trained language models have established the state-of-the-art on various natural language processing tasks, including dialogue summarization, which allows the reader to quickly…